Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
#!git clone https://github.com/rafaelszp/dlnd_face_generation.git
#!cp dlnd_face_generation/*.py .
#!pip install -U matplotlib==2.0.2
#!pip install tqdm
In [2]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[3]:
<matplotlib.image.AxesImage at 0x7f0f4ed0a780>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [4]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[4]:
<matplotlib.image.AxesImage at 0x7f0f4ebe8cc0>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [5]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.3.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [6]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function

    x = tf.placeholder(tf.float32, shape=(None, image_height, image_width, image_channels),name='input_real')
    z = tf.placeholder(tf.float32, shape=(None, z_dim),name='noise')
    l = tf.placeholder(tf.float32,name='learning_rate')

    return x, z, l



"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>):
<tf.Operation 'assert_rank_2/Assert/Assert' type=Assert>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
['File "/opt/conda/lib/python3.6/runpy.py", line 193, in _run_module_as_main\n    "__main__", mod_spec)', 'File "/opt/conda/lib/python3.6/runpy.py", line 85, in _run_code\n    exec(code, run_globals)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module>\n    app.launch_new_instance()', 'File "/opt/conda/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance\n    app.start()', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 478, in start\n    self.io_loop.start()', 'File "/opt/conda/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start\n    super(ZMQIOLoop, self).start()', 'File "/opt/conda/lib/python3.6/site-packages/tornado/ioloop.py", line 888, in start\n    handler_func(fd_obj, events)', 'File "/opt/conda/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper\n    return fn(*args, **kwargs)', 'File "/opt/conda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events\n    self._handle_recv()', 'File "/opt/conda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv\n    self._run_callback(callback, msg)', 'File "/opt/conda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback\n    callback(*args, **kwargs)', 'File "/opt/conda/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper\n    return fn(*args, **kwargs)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 281, in dispatcher\n    return self.dispatch_shell(stream, msg)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 232, in dispatch_shell\n    handler(stream, idents, msg)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 397, in execute_request\n    user_expressions, allow_stdin)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 208, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)', 'File "/opt/conda/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 533, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)', 'File "/opt/conda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell\n    interactivity=interactivity, compiler=compiler, result=result)', 'File "/opt/conda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2856, in run_ast_nodes\n    if self.run_code(code, result):', 'File "/opt/conda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)', 'File "<ipython-input-6-fd124c0cebd5>", line 25, in <module>\n    tests.test_model_inputs(model_inputs)', 'File "/home/workspace/face_generation/problem_unittests.py", line 12, in func_wrapper\n    result = func(*args)', 'File "/home/workspace/face_generation/problem_unittests.py", line 68, in test_model_inputs\n    _check_input(learn_rate, [], \'Learning Rate\')', 'File "/home/workspace/face_generation/problem_unittests.py", line 34, in _check_input\n    _assert_tensor_shape(tensor, shape, \'Real Input\')', 'File "/home/workspace/face_generation/problem_unittests.py", line 20, in _assert_tensor_shape\n    assert tf.assert_rank(tensor, len(shape), message=\'{} has wrong rank\'.format(display_name))', 'File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 617, in assert_rank\n    dynamic_condition, data, summarize)', 'File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 571, in _assert_rank_condition\n    return control_flow_ops.Assert(condition, data, summarize=summarize)', 'File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 175, in wrapped\n    return _add_should_use_warning(fn(*args, **kwargs))', 'File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 144, in _add_should_use_warning\n    wrapped = TFShouldUseWarningWrapper(x)', 'File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 101, in __init__\n    stack = [s.strip() for s in traceback.format_stack()]']
==================================
Tests Passed
In [7]:
leakyRelu = lambda x,alpha=0.2: tf.maximum(x*alpha,x)

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [47]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    #kernel_init = tf.random_normal_initializer(stddev=0.02)
    kernel_init = tf.contrib.layers.xavier_initializer_conv2d()
    
    def conv(images, n_filters, kernel_size=4, strides=2, kernel_initializer=kernel_init, padding='same',is_first=False,regularizer=None):
      x = tf.layers.conv2d(images, n_filters, kernel_size, strides, kernel_initializer=kernel_initializer, padding=padding,kernel_regularizer=regularizer)
      if(not is_first):
        x = tf.layers.batch_normalization(x, training=True)
      x = leakyRelu(x)
      if(not is_first):
          x = tf.nn.dropout(x,keep_prob=0.9)

      return x
    
    with tf.variable_scope('discriminator', reuse=reuse):
        # Input is 28x28x3
        x = conv(images,64,is_first=True)
        # 14x14x64        
        x = conv(x,128)
        # 7x7x128
        regularizer = tf.contrib.layers.l2_regularizer(scale=0.2)
        x = conv(x,256,regularizer=regularizer)
        # 4x4x256
        
        
        
        x = tf.reshape(x, (-1, 4*4*256))
        logits = tf.layers.dense(x, 1)
        out = tf.sigmoid(logits)

    return out, logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [48]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    #kernel_init = tf.random_normal_initializer(stddev=0.02)
    kernel_init = tf.contrib.layers.xavier_initializer_conv2d()
    
    def deconv(inputs, n_filters, kernel_size=5, strides=2, kernel_initializer=kernel_init, padding='same',is_last=False):
      x = tf.layers.conv2d_transpose(inputs, n_filters, kernel_size, strides=strides, kernel_initializer=kernel_initializer, padding=padding)
      if(not is_last):
        x = tf.layers.batch_normalization(x, training=is_train)
        x = leakyRelu(x)
        x = tf.nn.dropout(x,keep_prob=0.9)        

      return x
    
    with tf.variable_scope('generator', reuse=(not is_train)):
        x = tf.layers.dense(z, 7*7*512)
        x = tf.reshape(x, (-1, 7, 7, 512))
        x = tf.layers.batch_normalization(x, training=is_train)
        x = leakyRelu(x)        
        
        # 7x7x512
        x = deconv(x,256)
        # 14x14x256
        x = deconv(x,128)
        # 28x28x128
        x = deconv(x,64,strides=1)
        #28x28x64
           
        
        logits = deconv(x,n_filters=out_channel_dim,kernel_size=4,strides=1,is_last=True)
        # 28x28x3
        
        
        out = tf.tanh(logits)
    
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [49]:
import numpy as np
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    
            
    gmodel = generator(input_z,out_channel_dim,is_train=True)
    dmodel, dmodel_logits = discriminator(input_real,reuse=False) 
    gxdmodel, gxdmodel_logits = discriminator(gmodel,reuse=True)
    
    real_labels = tf.zeros_like(dmodel) + np.random.uniform(low=0.7,high=1.2,size=1)
    fake_labels = tf.zeros_like(gxdmodel) +  np.random.uniform(low=0.0,high=0.2,size=1)
        
    dloss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=dmodel_logits,labels=real_labels))
    gxdloss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=gxdmodel_logits,labels=fake_labels))
    gloss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=gxdmodel_logits,labels=tf.ones_like(gxdmodel)))
    
    
    l2loss_d = tf.losses.get_regularization_loss(scope='discriminator')
    dloss = (dloss + gxdloss) + l2loss_d
    
    
    return dloss, gloss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [50]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_vars = tf.trainable_variables()
    g_vars = [g for g in t_vars if g.name.startswith('generator')]
    d_vars = [d for d in t_vars if d.name.startswith('discriminator')]
    
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
      d_train_opt = tf.train.AdamOptimizer(learning_rate,beta1).minimize(d_loss,var_list=d_vars)
      g_train_opt = tf.train.AdamOptimizer(learning_rate,beta1).minimize(g_loss,var_list=g_vars)     
    
    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [51]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()
In [52]:
def scale(x, feature_range=(-1, 1)):
    # scale to (0, 1)
    x = ((x - x.min())/(x.max() - x.min()))
    
    # scale to feature_range
    min, max = feature_range
    x = x * (max - min) + min
    return x

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [53]:
import time

def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    
    images, noisez, lr = model_inputs(data_shape[1],data_shape[2],data_shape[3],z_dim)
    dloss,gloss = model_loss(images,noisez,data_shape[3])
    d_train_opt,g_train_opt = model_opt(dloss,gloss,learning_rate,beta1)
    iterations = 0
    
    start_time = time.time()
    
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):

                batch_images = scale(batch_images*2.0)
                iterations +=1
                batch_noisez = np.random.uniform(-1,1,size=(batch_size,z_dim))
                dict_d = {
                  images: batch_images,
                  noisez: batch_noisez
                }
                dict_g = {
                    noisez: batch_noisez,
                    images: batch_images,
                }
                _ = sess.run(d_train_opt,feed_dict=dict_d)
                _ = sess.run(g_train_opt,feed_dict=dict_g)
                #calculating loss for the blablablablablalbla
                if(iterations % 10==0):
                  train_loss_d = dloss.eval({images:batch_images,noisez:batch_noisez})
                  train_loss_g = gloss.eval({noisez: batch_noisez})
                  print("Epoch {}/{}...".format(epoch_i + 1, epochs),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                  
                if iterations % 100 == 0 or iterations*batch_size % 120000==0:
                    print("iteration",iterations)
                    show_generator_output(sess, 25, noisez, data_shape[3], data_image_mode)
        secs_duration = (time.time() - start_time)
        mins_duration = secs_duration/60
        
        print('Training done seconds: {}. Time in minutes: {}. Iterations: {}'.format(secs_duration,mins_duration,iterations))
                
      

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [55]:
batch_size = 20
z_dim = 100
learning_rate = 0.0002
beta1 = 0.3
print('Starting...')


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Starting...
Epoch 1/2... Discriminator Loss: 17.7797... Generator Loss: 0.2278
Epoch 1/2... Discriminator Loss: 16.1667... Generator Loss: 1.0901
Epoch 1/2... Discriminator Loss: 15.9848... Generator Loss: 1.1638
Epoch 1/2... Discriminator Loss: 15.3214... Generator Loss: 0.5863
Epoch 1/2... Discriminator Loss: 15.1341... Generator Loss: 0.6301
Epoch 1/2... Discriminator Loss: 14.1672... Generator Loss: 0.2778
Epoch 1/2... Discriminator Loss: 13.4713... Generator Loss: 0.3755
Epoch 1/2... Discriminator Loss: 12.9854... Generator Loss: 0.2748
Epoch 1/2... Discriminator Loss: 12.5629... Generator Loss: 0.3239
Epoch 1/2... Discriminator Loss: 11.7026... Generator Loss: 0.3016
iteration 100
Epoch 1/2... Discriminator Loss: 11.6738... Generator Loss: 0.2734
Epoch 1/2... Discriminator Loss: 10.9800... Generator Loss: 0.2431
Epoch 1/2... Discriminator Loss: 10.3052... Generator Loss: 0.4440
Epoch 1/2... Discriminator Loss: 10.0289... Generator Loss: 0.1807
Epoch 1/2... Discriminator Loss: 9.1803... Generator Loss: 0.6522
Epoch 1/2... Discriminator Loss: 8.9727... Generator Loss: 0.2753
Epoch 1/2... Discriminator Loss: 8.7069... Generator Loss: 0.2223
Epoch 1/2... Discriminator Loss: 8.3898... Generator Loss: 0.2159
Epoch 1/2... Discriminator Loss: 8.0345... Generator Loss: 0.6941
Epoch 1/2... Discriminator Loss: 7.7511... Generator Loss: 0.4029
iteration 200
Epoch 1/2... Discriminator Loss: 7.7708... Generator Loss: 0.1274
Epoch 1/2... Discriminator Loss: 7.0800... Generator Loss: 0.4576
Epoch 1/2... Discriminator Loss: 6.5454... Generator Loss: 0.5083
Epoch 1/2... Discriminator Loss: 6.5374... Generator Loss: 0.3434
Epoch 1/2... Discriminator Loss: 6.2520... Generator Loss: 0.4165
Epoch 1/2... Discriminator Loss: 5.9178... Generator Loss: 0.5317
Epoch 1/2... Discriminator Loss: 5.6997... Generator Loss: 0.8238
Epoch 1/2... Discriminator Loss: 5.6449... Generator Loss: 0.4550
Epoch 1/2... Discriminator Loss: 5.4973... Generator Loss: 0.4587
Epoch 1/2... Discriminator Loss: 5.3049... Generator Loss: 0.3851
iteration 300
Epoch 1/2... Discriminator Loss: 5.1431... Generator Loss: 0.5019
Epoch 1/2... Discriminator Loss: 5.4017... Generator Loss: 0.1412
Epoch 1/2... Discriminator Loss: 4.8281... Generator Loss: 0.3466
Epoch 1/2... Discriminator Loss: 4.6684... Generator Loss: 0.5344
Epoch 1/2... Discriminator Loss: 4.5422... Generator Loss: 0.6802
Epoch 1/2... Discriminator Loss: 4.4692... Generator Loss: 0.5567
Epoch 1/2... Discriminator Loss: 4.7099... Generator Loss: 0.1575
Epoch 1/2... Discriminator Loss: 4.1695... Generator Loss: 0.4134
Epoch 1/2... Discriminator Loss: 3.9724... Generator Loss: 0.6117
Epoch 1/2... Discriminator Loss: 3.9723... Generator Loss: 0.2985
iteration 400
Epoch 1/2... Discriminator Loss: 3.6289... Generator Loss: 0.6732
Epoch 1/2... Discriminator Loss: 3.7612... Generator Loss: 0.2141
Epoch 1/2... Discriminator Loss: 3.6759... Generator Loss: 1.0934
Epoch 1/2... Discriminator Loss: 3.5979... Generator Loss: 0.6232
Epoch 1/2... Discriminator Loss: 3.2596... Generator Loss: 0.6775
Epoch 1/2... Discriminator Loss: 3.3459... Generator Loss: 0.4278
Epoch 1/2... Discriminator Loss: 3.4017... Generator Loss: 0.2162
Epoch 1/2... Discriminator Loss: 3.6794... Generator Loss: 0.1417
Epoch 1/2... Discriminator Loss: 4.2608... Generator Loss: 0.0632
Epoch 1/2... Discriminator Loss: 3.0349... Generator Loss: 0.4343
iteration 500
Epoch 1/2... Discriminator Loss: 2.9199... Generator Loss: 0.7189
Epoch 1/2... Discriminator Loss: 2.8953... Generator Loss: 0.4787
Epoch 1/2... Discriminator Loss: 3.0964... Generator Loss: 0.2569
Epoch 1/2... Discriminator Loss: 2.9119... Generator Loss: 0.2178
Epoch 1/2... Discriminator Loss: 3.1329... Generator Loss: 0.1416
Epoch 1/2... Discriminator Loss: 2.4814... Generator Loss: 0.5400
Epoch 1/2... Discriminator Loss: 2.7605... Generator Loss: 0.2992
Epoch 1/2... Discriminator Loss: 2.5127... Generator Loss: 0.3759
Epoch 1/2... Discriminator Loss: 2.5530... Generator Loss: 0.7490
Epoch 1/2... Discriminator Loss: 2.4366... Generator Loss: 0.8147
iteration 600
Epoch 1/2... Discriminator Loss: 2.4003... Generator Loss: 0.5377
Epoch 1/2... Discriminator Loss: 2.7116... Generator Loss: 0.3891
Epoch 1/2... Discriminator Loss: 2.4326... Generator Loss: 0.2526
Epoch 1/2... Discriminator Loss: 2.1253... Generator Loss: 0.8712
Epoch 1/2... Discriminator Loss: 2.0637... Generator Loss: 0.3442
Epoch 1/2... Discriminator Loss: 2.1990... Generator Loss: 0.9236
Epoch 1/2... Discriminator Loss: 2.1374... Generator Loss: 0.4459
Epoch 1/2... Discriminator Loss: 2.3176... Generator Loss: 1.0645
Epoch 1/2... Discriminator Loss: 2.1146... Generator Loss: 0.5774
Epoch 1/2... Discriminator Loss: 2.6762... Generator Loss: 0.1161
iteration 700
Epoch 1/2... Discriminator Loss: 2.4122... Generator Loss: 0.1281
Epoch 1/2... Discriminator Loss: 1.8869... Generator Loss: 0.4340
Epoch 1/2... Discriminator Loss: 1.8018... Generator Loss: 0.6839
Epoch 1/2... Discriminator Loss: 2.5045... Generator Loss: 0.1505
Epoch 1/2... Discriminator Loss: 1.9541... Generator Loss: 0.5273
Epoch 1/2... Discriminator Loss: 1.7787... Generator Loss: 0.6094
Epoch 1/2... Discriminator Loss: 2.0615... Generator Loss: 0.3678
Epoch 1/2... Discriminator Loss: 1.9966... Generator Loss: 0.3357
Epoch 1/2... Discriminator Loss: 2.2219... Generator Loss: 0.4041
Epoch 1/2... Discriminator Loss: 1.8398... Generator Loss: 0.4674
iteration 800
Epoch 1/2... Discriminator Loss: 1.7856... Generator Loss: 0.3809
Epoch 1/2... Discriminator Loss: 1.4838... Generator Loss: 0.6597
Epoch 1/2... Discriminator Loss: 2.2618... Generator Loss: 0.1253
Epoch 1/2... Discriminator Loss: 1.7037... Generator Loss: 0.4940
Epoch 1/2... Discriminator Loss: 2.0602... Generator Loss: 0.2210
Epoch 1/2... Discriminator Loss: 1.5292... Generator Loss: 0.9603
Epoch 1/2... Discriminator Loss: 1.6764... Generator Loss: 0.3686
Epoch 1/2... Discriminator Loss: 1.9301... Generator Loss: 0.2947
Epoch 1/2... Discriminator Loss: 1.8297... Generator Loss: 0.3327
Epoch 1/2... Discriminator Loss: 1.9248... Generator Loss: 0.2270
iteration 900
Epoch 1/2... Discriminator Loss: 1.7001... Generator Loss: 0.8753
Epoch 1/2... Discriminator Loss: 1.7194... Generator Loss: 0.3570
Epoch 1/2... Discriminator Loss: 1.6927... Generator Loss: 0.5346
Epoch 1/2... Discriminator Loss: 1.5036... Generator Loss: 0.3908
Epoch 1/2... Discriminator Loss: 1.5062... Generator Loss: 0.4516
Epoch 1/2... Discriminator Loss: 2.2209... Generator Loss: 0.1582
Epoch 1/2... Discriminator Loss: 1.5932... Generator Loss: 0.2198
Epoch 1/2... Discriminator Loss: 1.5320... Generator Loss: 0.4238
Epoch 1/2... Discriminator Loss: 1.8455... Generator Loss: 0.2894
Epoch 1/2... Discriminator Loss: 1.7769... Generator Loss: 0.5689
iteration 1000
Epoch 1/2... Discriminator Loss: 1.4887... Generator Loss: 0.5771
Epoch 1/2... Discriminator Loss: 1.8949... Generator Loss: 0.1857
Epoch 1/2... Discriminator Loss: 2.1510... Generator Loss: 0.1106
Epoch 1/2... Discriminator Loss: 2.3146... Generator Loss: 0.1095
Epoch 1/2... Discriminator Loss: 1.7541... Generator Loss: 0.2276
Epoch 1/2... Discriminator Loss: 1.5899... Generator Loss: 0.5918
Epoch 1/2... Discriminator Loss: 1.4416... Generator Loss: 0.3299
Epoch 1/2... Discriminator Loss: 1.6466... Generator Loss: 0.4513
Epoch 1/2... Discriminator Loss: 1.6359... Generator Loss: 0.3461
Epoch 1/2... Discriminator Loss: 1.4236... Generator Loss: 0.5184
iteration 1100
Epoch 1/2... Discriminator Loss: 1.2848... Generator Loss: 0.5163
Epoch 1/2... Discriminator Loss: 1.5921... Generator Loss: 0.3788
Epoch 1/2... Discriminator Loss: 1.6307... Generator Loss: 0.3205
Epoch 1/2... Discriminator Loss: 1.5847... Generator Loss: 1.1179
Epoch 1/2... Discriminator Loss: 1.6635... Generator Loss: 0.2190
Epoch 1/2... Discriminator Loss: 1.6690... Generator Loss: 0.4392
Epoch 1/2... Discriminator Loss: 1.5150... Generator Loss: 0.3091
Epoch 1/2... Discriminator Loss: 1.4989... Generator Loss: 0.9400
Epoch 1/2... Discriminator Loss: 1.3503... Generator Loss: 0.3799
Epoch 1/2... Discriminator Loss: 1.6125... Generator Loss: 0.3083
iteration 1200
Epoch 1/2... Discriminator Loss: 1.5175... Generator Loss: 0.6533
Epoch 1/2... Discriminator Loss: 1.5208... Generator Loss: 0.6444
Epoch 1/2... Discriminator Loss: 1.6292... Generator Loss: 0.1966
Epoch 1/2... Discriminator Loss: 1.5155... Generator Loss: 0.3904
Epoch 1/2... Discriminator Loss: 1.4140... Generator Loss: 0.5329
Epoch 1/2... Discriminator Loss: 1.8693... Generator Loss: 0.1467
Epoch 1/2... Discriminator Loss: 1.5973... Generator Loss: 0.2517
Epoch 1/2... Discriminator Loss: 1.3737... Generator Loss: 0.6665
Epoch 1/2... Discriminator Loss: 1.7235... Generator Loss: 0.2093
Epoch 1/2... Discriminator Loss: 1.4614... Generator Loss: 0.2977
iteration 1300
Epoch 1/2... Discriminator Loss: 1.4585... Generator Loss: 0.3169
Epoch 1/2... Discriminator Loss: 1.3509... Generator Loss: 0.6809
Epoch 1/2... Discriminator Loss: 1.5460... Generator Loss: 0.3439
Epoch 1/2... Discriminator Loss: 1.9404... Generator Loss: 0.2082
Epoch 1/2... Discriminator Loss: 1.4291... Generator Loss: 0.4716
Epoch 1/2... Discriminator Loss: 1.8763... Generator Loss: 0.1574
Epoch 1/2... Discriminator Loss: 1.3794... Generator Loss: 0.5946
Epoch 1/2... Discriminator Loss: 1.1487... Generator Loss: 0.8150
Epoch 1/2... Discriminator Loss: 1.3476... Generator Loss: 0.6656
Epoch 1/2... Discriminator Loss: 1.4293... Generator Loss: 0.6513
iteration 1400
Epoch 1/2... Discriminator Loss: 1.2858... Generator Loss: 0.8077
Epoch 1/2... Discriminator Loss: 1.4330... Generator Loss: 0.8416
Epoch 1/2... Discriminator Loss: 1.1282... Generator Loss: 0.6158
Epoch 1/2... Discriminator Loss: 1.2845... Generator Loss: 1.2245
Epoch 1/2... Discriminator Loss: 1.2360... Generator Loss: 0.3560
Epoch 1/2... Discriminator Loss: 2.0144... Generator Loss: 0.1328
Epoch 1/2... Discriminator Loss: 1.2121... Generator Loss: 0.4368
Epoch 1/2... Discriminator Loss: 1.4055... Generator Loss: 0.6475
Epoch 1/2... Discriminator Loss: 1.1956... Generator Loss: 0.8826
Epoch 1/2... Discriminator Loss: 1.4803... Generator Loss: 0.3917
iteration 1500
Epoch 1/2... Discriminator Loss: 1.2279... Generator Loss: 0.5417
Epoch 1/2... Discriminator Loss: 1.4664... Generator Loss: 0.2051
Epoch 1/2... Discriminator Loss: 1.7130... Generator Loss: 1.1251
Epoch 1/2... Discriminator Loss: 1.3231... Generator Loss: 1.0207
Epoch 1/2... Discriminator Loss: 1.2805... Generator Loss: 0.4887
Epoch 1/2... Discriminator Loss: 1.4078... Generator Loss: 0.4027
Epoch 1/2... Discriminator Loss: 1.3493... Generator Loss: 1.2326
Epoch 1/2... Discriminator Loss: 1.5506... Generator Loss: 0.2892
Epoch 1/2... Discriminator Loss: 1.4586... Generator Loss: 0.5297
Epoch 1/2... Discriminator Loss: 1.3167... Generator Loss: 0.9143
iteration 1600
Epoch 1/2... Discriminator Loss: 1.5054... Generator Loss: 0.2431
Epoch 1/2... Discriminator Loss: 1.3670... Generator Loss: 0.8589
Epoch 1/2... Discriminator Loss: 1.0477... Generator Loss: 0.6541
Epoch 1/2... Discriminator Loss: 1.1802... Generator Loss: 0.5643
Epoch 1/2... Discriminator Loss: 2.0315... Generator Loss: 0.1124
Epoch 1/2... Discriminator Loss: 1.1354... Generator Loss: 0.5115
Epoch 1/2... Discriminator Loss: 1.4233... Generator Loss: 0.4493
Epoch 1/2... Discriminator Loss: 1.5551... Generator Loss: 0.3133
Epoch 1/2... Discriminator Loss: 1.7261... Generator Loss: 0.2185
Epoch 1/2... Discriminator Loss: 1.3986... Generator Loss: 0.3564
iteration 1700
Epoch 1/2... Discriminator Loss: 1.8292... Generator Loss: 0.1658
Epoch 1/2... Discriminator Loss: 1.4054... Generator Loss: 0.4152
Epoch 1/2... Discriminator Loss: 1.9365... Generator Loss: 0.1492
Epoch 1/2... Discriminator Loss: 1.4622... Generator Loss: 0.2773
Epoch 1/2... Discriminator Loss: 1.3378... Generator Loss: 1.3954
Epoch 1/2... Discriminator Loss: 1.2540... Generator Loss: 0.7484
Epoch 1/2... Discriminator Loss: 1.2058... Generator Loss: 0.6095
Epoch 1/2... Discriminator Loss: 1.1412... Generator Loss: 0.5342
Epoch 1/2... Discriminator Loss: 1.0845... Generator Loss: 0.8422
Epoch 1/2... Discriminator Loss: 2.0290... Generator Loss: 0.1533
iteration 1800
Epoch 1/2... Discriminator Loss: 1.0603... Generator Loss: 0.6929
Epoch 1/2... Discriminator Loss: 0.8815... Generator Loss: 0.8426
Epoch 1/2... Discriminator Loss: 1.4109... Generator Loss: 0.2697
Epoch 1/2... Discriminator Loss: 1.1429... Generator Loss: 0.8510
Epoch 1/2... Discriminator Loss: 0.9885... Generator Loss: 0.6149
Epoch 1/2... Discriminator Loss: 1.0401... Generator Loss: 1.0138
Epoch 1/2... Discriminator Loss: 1.3156... Generator Loss: 1.2047
Epoch 1/2... Discriminator Loss: 1.3066... Generator Loss: 0.5356
Epoch 1/2... Discriminator Loss: 1.1149... Generator Loss: 0.3937
Epoch 1/2... Discriminator Loss: 0.8500... Generator Loss: 0.7588
iteration 1900
Epoch 1/2... Discriminator Loss: 0.9534... Generator Loss: 0.7903
Epoch 1/2... Discriminator Loss: 1.0398... Generator Loss: 1.1769
Epoch 1/2... Discriminator Loss: 1.2228... Generator Loss: 0.6560
Epoch 1/2... Discriminator Loss: 1.2473... Generator Loss: 0.4278
Epoch 1/2... Discriminator Loss: 1.1452... Generator Loss: 1.0020
Epoch 1/2... Discriminator Loss: 1.1462... Generator Loss: 0.6103
Epoch 1/2... Discriminator Loss: 1.3171... Generator Loss: 0.3907
Epoch 1/2... Discriminator Loss: 1.1772... Generator Loss: 0.6057
Epoch 1/2... Discriminator Loss: 1.3746... Generator Loss: 0.3222
Epoch 1/2... Discriminator Loss: 1.3242... Generator Loss: 0.5849
iteration 2000
Epoch 1/2... Discriminator Loss: 1.7025... Generator Loss: 0.2057
Epoch 1/2... Discriminator Loss: 1.0113... Generator Loss: 0.7324
Epoch 1/2... Discriminator Loss: 0.9710... Generator Loss: 1.0911
Epoch 1/2... Discriminator Loss: 1.4002... Generator Loss: 0.3435
Epoch 1/2... Discriminator Loss: 1.1592... Generator Loss: 1.2277
Epoch 1/2... Discriminator Loss: 0.9439... Generator Loss: 2.5038
Epoch 1/2... Discriminator Loss: 1.2054... Generator Loss: 0.4681
Epoch 1/2... Discriminator Loss: 1.0905... Generator Loss: 1.0795
Epoch 1/2... Discriminator Loss: 1.2564... Generator Loss: 0.9921
Epoch 1/2... Discriminator Loss: 1.6439... Generator Loss: 0.2300
iteration 2100
Epoch 1/2... Discriminator Loss: 0.9940... Generator Loss: 0.5963
Epoch 1/2... Discriminator Loss: 0.9679... Generator Loss: 0.6047
Epoch 1/2... Discriminator Loss: 1.3913... Generator Loss: 0.3363
Epoch 1/2... Discriminator Loss: 1.3735... Generator Loss: 0.3898
Epoch 1/2... Discriminator Loss: 1.2223... Generator Loss: 0.4924
Epoch 1/2... Discriminator Loss: 1.9222... Generator Loss: 0.1797
Epoch 1/2... Discriminator Loss: 1.0871... Generator Loss: 0.5840
Epoch 1/2... Discriminator Loss: 1.4757... Generator Loss: 0.2764
Epoch 1/2... Discriminator Loss: 1.4648... Generator Loss: 0.1985
Epoch 1/2... Discriminator Loss: 1.3532... Generator Loss: 0.4144
iteration 2200
Epoch 1/2... Discriminator Loss: 1.3366... Generator Loss: 0.2982
Epoch 1/2... Discriminator Loss: 1.4537... Generator Loss: 2.0980
Epoch 1/2... Discriminator Loss: 1.7310... Generator Loss: 0.2055
Epoch 1/2... Discriminator Loss: 1.0507... Generator Loss: 0.6792
Epoch 1/2... Discriminator Loss: 0.9175... Generator Loss: 0.6473
Epoch 1/2... Discriminator Loss: 1.4155... Generator Loss: 0.2432
Epoch 1/2... Discriminator Loss: 0.8795... Generator Loss: 0.7829
Epoch 1/2... Discriminator Loss: 1.8463... Generator Loss: 1.7444
Epoch 1/2... Discriminator Loss: 1.1329... Generator Loss: 0.5608
Epoch 1/2... Discriminator Loss: 1.3190... Generator Loss: 0.5401
iteration 2300
Epoch 1/2... Discriminator Loss: 1.0547... Generator Loss: 0.9337
Epoch 1/2... Discriminator Loss: 0.9779... Generator Loss: 0.9095
Epoch 1/2... Discriminator Loss: 1.2005... Generator Loss: 0.7162
Epoch 1/2... Discriminator Loss: 1.1813... Generator Loss: 1.7668
Epoch 1/2... Discriminator Loss: 1.0403... Generator Loss: 1.3254
Epoch 1/2... Discriminator Loss: 1.0849... Generator Loss: 0.6073
Epoch 1/2... Discriminator Loss: 0.9740... Generator Loss: 1.1276
Epoch 1/2... Discriminator Loss: 1.4739... Generator Loss: 2.2475
Epoch 1/2... Discriminator Loss: 1.1874... Generator Loss: 0.4165
Epoch 1/2... Discriminator Loss: 1.0432... Generator Loss: 0.2952
iteration 2400
Epoch 1/2... Discriminator Loss: 1.2626... Generator Loss: 0.3146
Epoch 1/2... Discriminator Loss: 1.3233... Generator Loss: 0.3870
Epoch 1/2... Discriminator Loss: 0.8497... Generator Loss: 0.8840
Epoch 1/2... Discriminator Loss: 1.2488... Generator Loss: 0.5673
Epoch 1/2... Discriminator Loss: 0.9790... Generator Loss: 0.6930
Epoch 1/2... Discriminator Loss: 1.0253... Generator Loss: 0.6928
Epoch 1/2... Discriminator Loss: 1.3202... Generator Loss: 0.5033
Epoch 1/2... Discriminator Loss: 1.1828... Generator Loss: 0.5115
Epoch 1/2... Discriminator Loss: 1.2154... Generator Loss: 1.0688
Epoch 1/2... Discriminator Loss: 1.4591... Generator Loss: 0.2676
iteration 2500
Epoch 1/2... Discriminator Loss: 1.7468... Generator Loss: 1.4328
Epoch 1/2... Discriminator Loss: 1.1154... Generator Loss: 0.5339
Epoch 1/2... Discriminator Loss: 1.1689... Generator Loss: 0.4269
Epoch 1/2... Discriminator Loss: 1.3730... Generator Loss: 0.3399
Epoch 1/2... Discriminator Loss: 1.2233... Generator Loss: 0.4247
Epoch 1/2... Discriminator Loss: 1.5277... Generator Loss: 0.1891
Epoch 1/2... Discriminator Loss: 1.8058... Generator Loss: 0.1348
Epoch 1/2... Discriminator Loss: 1.1927... Generator Loss: 0.6451
Epoch 1/2... Discriminator Loss: 1.0341... Generator Loss: 0.9965
Epoch 1/2... Discriminator Loss: 0.9338... Generator Loss: 0.6625
iteration 2600
Epoch 1/2... Discriminator Loss: 1.1984... Generator Loss: 0.5383
Epoch 1/2... Discriminator Loss: 1.0544... Generator Loss: 0.8475
Epoch 1/2... Discriminator Loss: 0.9653... Generator Loss: 0.6951
Epoch 1/2... Discriminator Loss: 1.2493... Generator Loss: 0.4288
Epoch 1/2... Discriminator Loss: 1.1945... Generator Loss: 1.1242
Epoch 1/2... Discriminator Loss: 1.1706... Generator Loss: 0.4336
Epoch 1/2... Discriminator Loss: 1.1777... Generator Loss: 0.4818
Epoch 1/2... Discriminator Loss: 1.5027... Generator Loss: 0.2646
Epoch 1/2... Discriminator Loss: 1.0438... Generator Loss: 0.6676
Epoch 1/2... Discriminator Loss: 1.0392... Generator Loss: 0.8278
iteration 2700
Epoch 1/2... Discriminator Loss: 1.0962... Generator Loss: 1.2099
Epoch 1/2... Discriminator Loss: 1.8393... Generator Loss: 2.5277
Epoch 1/2... Discriminator Loss: 1.1355... Generator Loss: 0.8731
Epoch 1/2... Discriminator Loss: 1.6068... Generator Loss: 0.2010
Epoch 1/2... Discriminator Loss: 1.1276... Generator Loss: 0.6082
Epoch 1/2... Discriminator Loss: 0.8429... Generator Loss: 1.2133
Epoch 1/2... Discriminator Loss: 1.0835... Generator Loss: 0.8580
Epoch 1/2... Discriminator Loss: 1.1293... Generator Loss: 0.8767
Epoch 1/2... Discriminator Loss: 0.9404... Generator Loss: 0.9209
Epoch 1/2... Discriminator Loss: 1.0447... Generator Loss: 0.8066
iteration 2800
Epoch 1/2... Discriminator Loss: 0.8679... Generator Loss: 1.0822
Epoch 1/2... Discriminator Loss: 0.9163... Generator Loss: 0.5017
Epoch 1/2... Discriminator Loss: 1.1669... Generator Loss: 0.4741
Epoch 1/2... Discriminator Loss: 2.7476... Generator Loss: 2.3070
Epoch 1/2... Discriminator Loss: 1.1324... Generator Loss: 0.8190
Epoch 1/2... Discriminator Loss: 1.3541... Generator Loss: 0.4466
Epoch 1/2... Discriminator Loss: 0.9776... Generator Loss: 0.3568
Epoch 1/2... Discriminator Loss: 1.2671... Generator Loss: 0.3289
Epoch 1/2... Discriminator Loss: 1.5819... Generator Loss: 0.2565
Epoch 1/2... Discriminator Loss: 1.4831... Generator Loss: 0.2143
iteration 2900
Epoch 1/2... Discriminator Loss: 1.2654... Generator Loss: 0.5883
Epoch 1/2... Discriminator Loss: 1.1834... Generator Loss: 0.4306
Epoch 1/2... Discriminator Loss: 0.9496... Generator Loss: 0.8580
Epoch 1/2... Discriminator Loss: 1.0049... Generator Loss: 1.5173
Epoch 1/2... Discriminator Loss: 1.3299... Generator Loss: 0.3441
Epoch 1/2... Discriminator Loss: 0.9278... Generator Loss: 0.5770
Epoch 1/2... Discriminator Loss: 0.9477... Generator Loss: 1.0682
Epoch 1/2... Discriminator Loss: 0.9711... Generator Loss: 0.6474
Epoch 1/2... Discriminator Loss: 1.4213... Generator Loss: 0.3985
Epoch 1/2... Discriminator Loss: 1.1466... Generator Loss: 1.3097
iteration 3000
Epoch 2/2... Discriminator Loss: 1.1268... Generator Loss: 0.6071
Epoch 2/2... Discriminator Loss: 1.2840... Generator Loss: 0.4029
Epoch 2/2... Discriminator Loss: 1.1758... Generator Loss: 0.5671
Epoch 2/2... Discriminator Loss: 0.9235... Generator Loss: 0.9322
Epoch 2/2... Discriminator Loss: 0.7685... Generator Loss: 0.7152
Epoch 2/2... Discriminator Loss: 1.4205... Generator Loss: 0.2857
Epoch 2/2... Discriminator Loss: 1.2492... Generator Loss: 0.9962
Epoch 2/2... Discriminator Loss: 1.3887... Generator Loss: 0.3982
Epoch 2/2... Discriminator Loss: 0.7975... Generator Loss: 1.3932
Epoch 2/2... Discriminator Loss: 1.0167... Generator Loss: 0.6224
iteration 3100
Epoch 2/2... Discriminator Loss: 0.9465... Generator Loss: 0.7683
Epoch 2/2... Discriminator Loss: 1.2249... Generator Loss: 0.5386
Epoch 2/2... Discriminator Loss: 1.2617... Generator Loss: 0.4414
Epoch 2/2... Discriminator Loss: 1.3727... Generator Loss: 0.5433
Epoch 2/2... Discriminator Loss: 0.9329... Generator Loss: 0.8811
Epoch 2/2... Discriminator Loss: 1.4060... Generator Loss: 0.2702
Epoch 2/2... Discriminator Loss: 1.2842... Generator Loss: 0.2813
Epoch 2/2... Discriminator Loss: 0.9350... Generator Loss: 1.2135
Epoch 2/2... Discriminator Loss: 1.1390... Generator Loss: 0.3693
Epoch 2/2... Discriminator Loss: 0.9801... Generator Loss: 1.2094
iteration 3200
Epoch 2/2... Discriminator Loss: 1.3516... Generator Loss: 0.2223
Epoch 2/2... Discriminator Loss: 1.1537... Generator Loss: 0.6091
Epoch 2/2... Discriminator Loss: 1.5750... Generator Loss: 0.2175
Epoch 2/2... Discriminator Loss: 1.0383... Generator Loss: 0.9346
Epoch 2/2... Discriminator Loss: 1.1297... Generator Loss: 0.8260
Epoch 2/2... Discriminator Loss: 1.3704... Generator Loss: 0.3309
Epoch 2/2... Discriminator Loss: 0.9801... Generator Loss: 0.8047
Epoch 2/2... Discriminator Loss: 0.8303... Generator Loss: 1.0263
Epoch 2/2... Discriminator Loss: 0.9275... Generator Loss: 1.1154
Epoch 2/2... Discriminator Loss: 1.2895... Generator Loss: 0.3139
iteration 3300
Epoch 2/2... Discriminator Loss: 1.2161... Generator Loss: 0.8330
Epoch 2/2... Discriminator Loss: 0.9937... Generator Loss: 0.6416
Epoch 2/2... Discriminator Loss: 1.0851... Generator Loss: 0.8578
Epoch 2/2... Discriminator Loss: 0.9326... Generator Loss: 0.7853
Epoch 2/2... Discriminator Loss: 0.8979... Generator Loss: 0.5620
Epoch 2/2... Discriminator Loss: 0.9456... Generator Loss: 1.0903
Epoch 2/2... Discriminator Loss: 1.6196... Generator Loss: 0.1877
Epoch 2/2... Discriminator Loss: 1.0806... Generator Loss: 0.4435
Epoch 2/2... Discriminator Loss: 1.2725... Generator Loss: 0.3711
Epoch 2/2... Discriminator Loss: 1.4094... Generator Loss: 0.4347
iteration 3400
Epoch 2/2... Discriminator Loss: 1.0788... Generator Loss: 0.2390
Epoch 2/2... Discriminator Loss: 1.3206... Generator Loss: 0.3334
Epoch 2/2... Discriminator Loss: 1.1353... Generator Loss: 1.0354
Epoch 2/2... Discriminator Loss: 1.0770... Generator Loss: 0.6391
Epoch 2/2... Discriminator Loss: 0.9401... Generator Loss: 1.0557
Epoch 2/2... Discriminator Loss: 1.1519... Generator Loss: 0.4112
Epoch 2/2... Discriminator Loss: 1.2022... Generator Loss: 0.8068
Epoch 2/2... Discriminator Loss: 1.1559... Generator Loss: 1.4848
Epoch 2/2... Discriminator Loss: 0.7987... Generator Loss: 1.2268
Epoch 2/2... Discriminator Loss: 1.2756... Generator Loss: 0.2659
iteration 3500
Epoch 2/2... Discriminator Loss: 0.9730... Generator Loss: 0.4464
Epoch 2/2... Discriminator Loss: 1.8722... Generator Loss: 1.3410
Epoch 2/2... Discriminator Loss: 1.1103... Generator Loss: 0.7228
Epoch 2/2... Discriminator Loss: 1.0593... Generator Loss: 1.0361
Epoch 2/2... Discriminator Loss: 0.9348... Generator Loss: 0.8153
Epoch 2/2... Discriminator Loss: 1.3471... Generator Loss: 0.3321
Epoch 2/2... Discriminator Loss: 0.9270... Generator Loss: 0.4617
Epoch 2/2... Discriminator Loss: 1.7681... Generator Loss: 0.2373
Epoch 2/2... Discriminator Loss: 1.1661... Generator Loss: 0.4187
Epoch 2/2... Discriminator Loss: 0.9264... Generator Loss: 0.9100
iteration 3600
Epoch 2/2... Discriminator Loss: 1.0762... Generator Loss: 0.3940
Epoch 2/2... Discriminator Loss: 1.0455... Generator Loss: 0.5526
Epoch 2/2... Discriminator Loss: 1.2274... Generator Loss: 0.7105
Epoch 2/2... Discriminator Loss: 1.2486... Generator Loss: 0.3995
Epoch 2/2... Discriminator Loss: 1.4323... Generator Loss: 0.2753
Epoch 2/2... Discriminator Loss: 1.7509... Generator Loss: 0.2557
Epoch 2/2... Discriminator Loss: 0.8743... Generator Loss: 1.1679
Epoch 2/2... Discriminator Loss: 1.8394... Generator Loss: 0.1604
Epoch 2/2... Discriminator Loss: 1.1910... Generator Loss: 0.8555
Epoch 2/2... Discriminator Loss: 1.1287... Generator Loss: 0.8475
iteration 3700
Epoch 2/2... Discriminator Loss: 1.1701... Generator Loss: 0.4837
Epoch 2/2... Discriminator Loss: 1.0350... Generator Loss: 0.7340
Epoch 2/2... Discriminator Loss: 1.0332... Generator Loss: 1.0694
Epoch 2/2... Discriminator Loss: 0.9596... Generator Loss: 1.1063
Epoch 2/2... Discriminator Loss: 0.9406... Generator Loss: 1.4007
Epoch 2/2... Discriminator Loss: 1.0470... Generator Loss: 0.5420
Epoch 2/2... Discriminator Loss: 1.1541... Generator Loss: 0.3518
Epoch 2/2... Discriminator Loss: 1.2069... Generator Loss: 0.7836
Epoch 2/2... Discriminator Loss: 1.0202... Generator Loss: 0.6997
Epoch 2/2... Discriminator Loss: 1.4206... Generator Loss: 0.4657
iteration 3800
Epoch 2/2... Discriminator Loss: 1.1993... Generator Loss: 0.3849
Epoch 2/2... Discriminator Loss: 1.5258... Generator Loss: 0.2444
Epoch 2/2... Discriminator Loss: 0.9458... Generator Loss: 0.9147
Epoch 2/2... Discriminator Loss: 0.9757... Generator Loss: 1.5695
Epoch 2/2... Discriminator Loss: 1.0686... Generator Loss: 0.6545
Epoch 2/2... Discriminator Loss: 0.7903... Generator Loss: 2.0753
Epoch 2/2... Discriminator Loss: 0.9404... Generator Loss: 0.9194
Epoch 2/2... Discriminator Loss: 1.7228... Generator Loss: 2.6211
Epoch 2/2... Discriminator Loss: 1.1536... Generator Loss: 0.5183
Epoch 2/2... Discriminator Loss: 0.9897... Generator Loss: 0.8435
iteration 3900
Epoch 2/2... Discriminator Loss: 0.9958... Generator Loss: 0.8960
Epoch 2/2... Discriminator Loss: 1.2024... Generator Loss: 1.1822
Epoch 2/2... Discriminator Loss: 1.4256... Generator Loss: 0.3789
Epoch 2/2... Discriminator Loss: 1.1072... Generator Loss: 0.5473
Epoch 2/2... Discriminator Loss: 1.2380... Generator Loss: 0.4701
Epoch 2/2... Discriminator Loss: 1.3189... Generator Loss: 0.4596
Epoch 2/2... Discriminator Loss: 1.4783... Generator Loss: 0.4330
Epoch 2/2... Discriminator Loss: 1.4213... Generator Loss: 0.3450
Epoch 2/2... Discriminator Loss: 1.3794... Generator Loss: 0.3698
Epoch 2/2... Discriminator Loss: 1.1279... Generator Loss: 1.2793
iteration 4000
Epoch 2/2... Discriminator Loss: 1.2440... Generator Loss: 0.2789
Epoch 2/2... Discriminator Loss: 1.0144... Generator Loss: 0.7428
Epoch 2/2... Discriminator Loss: 1.2699... Generator Loss: 0.3229
Epoch 2/2... Discriminator Loss: 1.0191... Generator Loss: 0.4653
Epoch 2/2... Discriminator Loss: 0.9522... Generator Loss: 0.6666
Epoch 2/2... Discriminator Loss: 1.1286... Generator Loss: 0.6712
Epoch 2/2... Discriminator Loss: 0.7854... Generator Loss: 1.4010
Epoch 2/2... Discriminator Loss: 0.9453... Generator Loss: 0.6833
Epoch 2/2... Discriminator Loss: 1.4118... Generator Loss: 0.2483
Epoch 2/2... Discriminator Loss: 1.5542... Generator Loss: 1.7861
iteration 4100
Epoch 2/2... Discriminator Loss: 0.9427... Generator Loss: 0.7997
Epoch 2/2... Discriminator Loss: 1.0869... Generator Loss: 1.3804
Epoch 2/2... Discriminator Loss: 0.9100... Generator Loss: 0.8387
Epoch 2/2... Discriminator Loss: 1.1202... Generator Loss: 1.5477
Epoch 2/2... Discriminator Loss: 1.1956... Generator Loss: 0.6039
Epoch 2/2... Discriminator Loss: 0.9183... Generator Loss: 1.0106
Epoch 2/2... Discriminator Loss: 1.1198... Generator Loss: 0.4404
Epoch 2/2... Discriminator Loss: 0.9010... Generator Loss: 0.5196
Epoch 2/2... Discriminator Loss: 1.0122... Generator Loss: 0.5078
Epoch 2/2... Discriminator Loss: 0.8352... Generator Loss: 0.9149
iteration 4200
Epoch 2/2... Discriminator Loss: 0.9880... Generator Loss: 1.3351
Epoch 2/2... Discriminator Loss: 1.3976... Generator Loss: 0.2065
Epoch 2/2... Discriminator Loss: 1.6212... Generator Loss: 0.1909
Epoch 2/2... Discriminator Loss: 0.8590... Generator Loss: 0.5180
Epoch 2/2... Discriminator Loss: 1.2231... Generator Loss: 0.7406
Epoch 2/2... Discriminator Loss: 0.8977... Generator Loss: 0.7418
Epoch 2/2... Discriminator Loss: 0.8993... Generator Loss: 0.7215
Epoch 2/2... Discriminator Loss: 0.9495... Generator Loss: 0.8986
Epoch 2/2... Discriminator Loss: 1.2364... Generator Loss: 0.2840
Epoch 2/2... Discriminator Loss: 1.0413... Generator Loss: 0.4794
iteration 4300
Epoch 2/2... Discriminator Loss: 0.9865... Generator Loss: 0.3592
Epoch 2/2... Discriminator Loss: 1.5737... Generator Loss: 0.1843
Epoch 2/2... Discriminator Loss: 1.1093... Generator Loss: 0.5115
Epoch 2/2... Discriminator Loss: 1.1396... Generator Loss: 0.7657
Epoch 2/2... Discriminator Loss: 0.8407... Generator Loss: 1.0546
Epoch 2/2... Discriminator Loss: 1.4484... Generator Loss: 0.3221
Epoch 2/2... Discriminator Loss: 0.9121... Generator Loss: 0.9306
Epoch 2/2... Discriminator Loss: 1.3378... Generator Loss: 1.6036
Epoch 2/2... Discriminator Loss: 0.8663... Generator Loss: 1.7809
Epoch 2/2... Discriminator Loss: 0.9328... Generator Loss: 0.5884
iteration 4400
Epoch 2/2... Discriminator Loss: 1.9154... Generator Loss: 0.1185
Epoch 2/2... Discriminator Loss: 1.1495... Generator Loss: 0.4897
Epoch 2/2... Discriminator Loss: 1.0259... Generator Loss: 0.4972
Epoch 2/2... Discriminator Loss: 1.1882... Generator Loss: 0.4462
Epoch 2/2... Discriminator Loss: 1.2124... Generator Loss: 0.6895
Epoch 2/2... Discriminator Loss: 0.9506... Generator Loss: 0.7970
Epoch 2/2... Discriminator Loss: 1.0600... Generator Loss: 0.5635
Epoch 2/2... Discriminator Loss: 0.8238... Generator Loss: 0.8290
Epoch 2/2... Discriminator Loss: 0.7462... Generator Loss: 0.9736
Epoch 2/2... Discriminator Loss: 1.1371... Generator Loss: 0.4915
iteration 4500
Epoch 2/2... Discriminator Loss: 1.0460... Generator Loss: 0.4631
Epoch 2/2... Discriminator Loss: 1.2957... Generator Loss: 2.0756
Epoch 2/2... Discriminator Loss: 0.9992... Generator Loss: 0.5548
Epoch 2/2... Discriminator Loss: 0.6506... Generator Loss: 0.9688
Epoch 2/2... Discriminator Loss: 1.0353... Generator Loss: 0.7131
Epoch 2/2... Discriminator Loss: 1.2399... Generator Loss: 0.4150
Epoch 2/2... Discriminator Loss: 1.0877... Generator Loss: 1.0616
Epoch 2/2... Discriminator Loss: 0.8809... Generator Loss: 0.9050
Epoch 2/2... Discriminator Loss: 1.2213... Generator Loss: 0.4911
Epoch 2/2... Discriminator Loss: 0.8982... Generator Loss: 0.6848
iteration 4600
Epoch 2/2... Discriminator Loss: 1.5267... Generator Loss: 0.2166
Epoch 2/2... Discriminator Loss: 0.8053... Generator Loss: 1.2044
Epoch 2/2... Discriminator Loss: 1.0303... Generator Loss: 1.2910
Epoch 2/2... Discriminator Loss: 0.8926... Generator Loss: 0.6237
Epoch 2/2... Discriminator Loss: 1.0267... Generator Loss: 0.6375
Epoch 2/2... Discriminator Loss: 0.9521... Generator Loss: 0.3971
Epoch 2/2... Discriminator Loss: 0.9405... Generator Loss: 0.6311
Epoch 2/2... Discriminator Loss: 0.7447... Generator Loss: 1.0512
Epoch 2/2... Discriminator Loss: 1.2564... Generator Loss: 0.4897
Epoch 2/2... Discriminator Loss: 1.3341... Generator Loss: 0.6458
iteration 4700
Epoch 2/2... Discriminator Loss: 0.8054... Generator Loss: 1.0264
Epoch 2/2... Discriminator Loss: 1.0423... Generator Loss: 1.1332
Epoch 2/2... Discriminator Loss: 1.1496... Generator Loss: 0.7631
Epoch 2/2... Discriminator Loss: 0.9357... Generator Loss: 0.9066
Epoch 2/2... Discriminator Loss: 0.9103... Generator Loss: 1.1327
Epoch 2/2... Discriminator Loss: 0.9851... Generator Loss: 1.5108
Epoch 2/2... Discriminator Loss: 0.8928... Generator Loss: 1.5908
Epoch 2/2... Discriminator Loss: 1.8346... Generator Loss: 0.1537
Epoch 2/2... Discriminator Loss: 1.0361... Generator Loss: 0.8538
Epoch 2/2... Discriminator Loss: 1.3277... Generator Loss: 0.3372
iteration 4800
Epoch 2/2... Discriminator Loss: 0.6154... Generator Loss: 1.1793
Epoch 2/2... Discriminator Loss: 0.9236... Generator Loss: 0.7271
Epoch 2/2... Discriminator Loss: 1.4252... Generator Loss: 0.3083
Epoch 2/2... Discriminator Loss: 1.0493... Generator Loss: 0.8540
Epoch 2/2... Discriminator Loss: 0.8439... Generator Loss: 1.7350
Epoch 2/2... Discriminator Loss: 1.0021... Generator Loss: 0.7908
Epoch 2/2... Discriminator Loss: 0.9607... Generator Loss: 0.7835
Epoch 2/2... Discriminator Loss: 2.0131... Generator Loss: 1.9523
Epoch 2/2... Discriminator Loss: 1.1543... Generator Loss: 0.5894
Epoch 2/2... Discriminator Loss: 1.0791... Generator Loss: 0.7621
iteration 4900
Epoch 2/2... Discriminator Loss: 1.0206... Generator Loss: 0.8002
Epoch 2/2... Discriminator Loss: 0.8761... Generator Loss: 1.0370
Epoch 2/2... Discriminator Loss: 1.0657... Generator Loss: 0.7663
Epoch 2/2... Discriminator Loss: 0.9167... Generator Loss: 1.1549
Epoch 2/2... Discriminator Loss: 0.9367... Generator Loss: 1.0381
Epoch 2/2... Discriminator Loss: 1.3084... Generator Loss: 0.3847
Epoch 2/2... Discriminator Loss: 1.1469... Generator Loss: 0.6442
Epoch 2/2... Discriminator Loss: 0.9193... Generator Loss: 0.6160
Epoch 2/2... Discriminator Loss: 0.8596... Generator Loss: 0.8119
Epoch 2/2... Discriminator Loss: 0.9725... Generator Loss: 0.7406
iteration 5000
Epoch 2/2... Discriminator Loss: 0.9024... Generator Loss: 0.9699
Epoch 2/2... Discriminator Loss: 0.8317... Generator Loss: 0.8684
Epoch 2/2... Discriminator Loss: 0.9467... Generator Loss: 1.2296
Epoch 2/2... Discriminator Loss: 1.0353... Generator Loss: 1.4732
Epoch 2/2... Discriminator Loss: 0.8050... Generator Loss: 0.6399
Epoch 2/2... Discriminator Loss: 0.8439... Generator Loss: 0.5926
Epoch 2/2... Discriminator Loss: 1.0108... Generator Loss: 1.0578
Epoch 2/2... Discriminator Loss: 0.9905... Generator Loss: 0.8244
Epoch 2/2... Discriminator Loss: 1.0080... Generator Loss: 1.7585
Epoch 2/2... Discriminator Loss: 1.1566... Generator Loss: 0.5984
iteration 5100
Epoch 2/2... Discriminator Loss: 0.9875... Generator Loss: 0.8673
Epoch 2/2... Discriminator Loss: 1.0730... Generator Loss: 1.6054
Epoch 2/2... Discriminator Loss: 0.9301... Generator Loss: 0.8294
Epoch 2/2... Discriminator Loss: 0.9206... Generator Loss: 0.6660
Epoch 2/2... Discriminator Loss: 0.8090... Generator Loss: 1.2739
Epoch 2/2... Discriminator Loss: 1.0247... Generator Loss: 1.0242
Epoch 2/2... Discriminator Loss: 0.9741... Generator Loss: 1.0156
Epoch 2/2... Discriminator Loss: 1.3217... Generator Loss: 0.2908
Epoch 2/2... Discriminator Loss: 1.0567... Generator Loss: 0.5810
Epoch 2/2... Discriminator Loss: 0.6911... Generator Loss: 0.6662
iteration 5200
Epoch 2/2... Discriminator Loss: 1.3934... Generator Loss: 0.4629
Epoch 2/2... Discriminator Loss: 1.0633... Generator Loss: 0.4643
Epoch 2/2... Discriminator Loss: 1.2231... Generator Loss: 1.1674
Epoch 2/2... Discriminator Loss: 1.2344... Generator Loss: 0.3634
Epoch 2/2... Discriminator Loss: 0.9594... Generator Loss: 0.7780
Epoch 2/2... Discriminator Loss: 1.0131... Generator Loss: 0.5340
Epoch 2/2... Discriminator Loss: 1.2339... Generator Loss: 1.0955
Epoch 2/2... Discriminator Loss: 0.8638... Generator Loss: 0.6582
Epoch 2/2... Discriminator Loss: 1.6019... Generator Loss: 0.2098
Epoch 2/2... Discriminator Loss: 0.9874... Generator Loss: 0.5679
iteration 5300
Epoch 2/2... Discriminator Loss: 0.6606... Generator Loss: 1.3546
Epoch 2/2... Discriminator Loss: 0.9891... Generator Loss: 0.8798
Epoch 2/2... Discriminator Loss: 0.8885... Generator Loss: 1.0952
Epoch 2/2... Discriminator Loss: 1.0929... Generator Loss: 0.3932
Epoch 2/2... Discriminator Loss: 1.2317... Generator Loss: 1.5279
Epoch 2/2... Discriminator Loss: 1.0698... Generator Loss: 0.5384
Epoch 2/2... Discriminator Loss: 1.0160... Generator Loss: 0.8318
Epoch 2/2... Discriminator Loss: 0.8107... Generator Loss: 0.7999
Epoch 2/2... Discriminator Loss: 1.0223... Generator Loss: 0.7035
Epoch 2/2... Discriminator Loss: 1.4288... Generator Loss: 0.2497
iteration 5400
Epoch 2/2... Discriminator Loss: 0.9618... Generator Loss: 0.8603
Epoch 2/2... Discriminator Loss: 0.9674... Generator Loss: 0.5403
Epoch 2/2... Discriminator Loss: 1.1825... Generator Loss: 0.3486
Epoch 2/2... Discriminator Loss: 0.8513... Generator Loss: 1.0687
Epoch 2/2... Discriminator Loss: 0.9153... Generator Loss: 0.8129
Epoch 2/2... Discriminator Loss: 0.9009... Generator Loss: 0.8626
Epoch 2/2... Discriminator Loss: 1.1557... Generator Loss: 0.3598
Epoch 2/2... Discriminator Loss: 1.0836... Generator Loss: 1.0183
Epoch 2/2... Discriminator Loss: 1.0476... Generator Loss: 1.3904
Epoch 2/2... Discriminator Loss: 1.3977... Generator Loss: 2.2907
iteration 5500
Epoch 2/2... Discriminator Loss: 1.0167... Generator Loss: 0.8523
Epoch 2/2... Discriminator Loss: 1.7406... Generator Loss: 0.1499
Epoch 2/2... Discriminator Loss: 0.9173... Generator Loss: 0.8713
Epoch 2/2... Discriminator Loss: 0.9158... Generator Loss: 0.8193
Epoch 2/2... Discriminator Loss: 0.8681... Generator Loss: 0.6083
Epoch 2/2... Discriminator Loss: 1.1020... Generator Loss: 1.6601
Epoch 2/2... Discriminator Loss: 0.9062... Generator Loss: 1.2381
Epoch 2/2... Discriminator Loss: 1.0265... Generator Loss: 0.7462
Epoch 2/2... Discriminator Loss: 0.7871... Generator Loss: 0.6963
Epoch 2/2... Discriminator Loss: 0.8764... Generator Loss: 1.2503
iteration 5600
Epoch 2/2... Discriminator Loss: 1.0031... Generator Loss: 0.6068
Epoch 2/2... Discriminator Loss: 1.1182... Generator Loss: 1.7398
Epoch 2/2... Discriminator Loss: 0.7438... Generator Loss: 0.8442
Epoch 2/2... Discriminator Loss: 3.1400... Generator Loss: 0.0410
Epoch 2/2... Discriminator Loss: 1.1246... Generator Loss: 0.3743
Epoch 2/2... Discriminator Loss: 1.0441... Generator Loss: 0.8384
Epoch 2/2... Discriminator Loss: 1.1182... Generator Loss: 0.7839
Epoch 2/2... Discriminator Loss: 0.9586... Generator Loss: 0.8574
Epoch 2/2... Discriminator Loss: 0.9417... Generator Loss: 0.8819
Epoch 2/2... Discriminator Loss: 1.2831... Generator Loss: 0.4107
iteration 5700
Epoch 2/2... Discriminator Loss: 0.9896... Generator Loss: 0.7122
Epoch 2/2... Discriminator Loss: 1.1562... Generator Loss: 0.5474
Epoch 2/2... Discriminator Loss: 0.9928... Generator Loss: 0.5188
Epoch 2/2... Discriminator Loss: 1.0067... Generator Loss: 0.7081
Epoch 2/2... Discriminator Loss: 1.0442... Generator Loss: 1.0192
Epoch 2/2... Discriminator Loss: 0.9442... Generator Loss: 1.0023
Epoch 2/2... Discriminator Loss: 0.9449... Generator Loss: 0.5618
Epoch 2/2... Discriminator Loss: 0.9523... Generator Loss: 0.4428
Epoch 2/2... Discriminator Loss: 1.2379... Generator Loss: 0.7676
Epoch 2/2... Discriminator Loss: 0.7957... Generator Loss: 1.2445
iteration 5800
Epoch 2/2... Discriminator Loss: 1.1284... Generator Loss: 0.4480
Epoch 2/2... Discriminator Loss: 0.7622... Generator Loss: 1.3884
Epoch 2/2... Discriminator Loss: 1.1648... Generator Loss: 0.3860
Epoch 2/2... Discriminator Loss: 0.8770... Generator Loss: 1.5638
Epoch 2/2... Discriminator Loss: 1.0671... Generator Loss: 1.2493
Epoch 2/2... Discriminator Loss: 0.9903... Generator Loss: 0.8662
Epoch 2/2... Discriminator Loss: 0.9662... Generator Loss: 0.4735
Epoch 2/2... Discriminator Loss: 1.2338... Generator Loss: 0.2693
Epoch 2/2... Discriminator Loss: 1.7140... Generator Loss: 0.1844
Epoch 2/2... Discriminator Loss: 1.4694... Generator Loss: 0.2970
iteration 5900
Epoch 2/2... Discriminator Loss: 0.7736... Generator Loss: 0.8316
Epoch 2/2... Discriminator Loss: 1.4462... Generator Loss: 0.2432
Epoch 2/2... Discriminator Loss: 0.7857... Generator Loss: 0.9191
Epoch 2/2... Discriminator Loss: 0.9867... Generator Loss: 0.8329
Epoch 2/2... Discriminator Loss: 1.0180... Generator Loss: 0.5626
Epoch 2/2... Discriminator Loss: 0.7217... Generator Loss: 0.8129
Epoch 2/2... Discriminator Loss: 1.0473... Generator Loss: 0.5425
Epoch 2/2... Discriminator Loss: 1.1683... Generator Loss: 1.8902
Epoch 2/2... Discriminator Loss: 1.6446... Generator Loss: 0.3140
Epoch 2/2... Discriminator Loss: 1.0976... Generator Loss: 0.5555
iteration 6000
Training done seconds: 668.1954367160797. Time in minutes: 11.136590611934661. Iterations: 6000

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [56]:
batch_size = 20
z_dim = 100
learning_rate = 0.0002
beta1 = 0.2
print('Starting...')


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Starting...
Epoch 1/1... Discriminator Loss: 18.4539... Generator Loss: 0.1045
Epoch 1/1... Discriminator Loss: 16.5458... Generator Loss: 0.4384
Epoch 1/1... Discriminator Loss: 15.5188... Generator Loss: 0.6844
Epoch 1/1... Discriminator Loss: 14.0274... Generator Loss: 1.2458
Epoch 1/1... Discriminator Loss: 14.6206... Generator Loss: 0.2073
Epoch 1/1... Discriminator Loss: 13.6702... Generator Loss: 0.1913
Epoch 1/1... Discriminator Loss: 12.7472... Generator Loss: 0.4371
Epoch 1/1... Discriminator Loss: 11.8655... Generator Loss: 0.3725
Epoch 1/1... Discriminator Loss: 11.9684... Generator Loss: 0.1739
Epoch 1/1... Discriminator Loss: 11.4221... Generator Loss: 0.2322
iteration 100
Epoch 1/1... Discriminator Loss: 11.5514... Generator Loss: 0.0660
Epoch 1/1... Discriminator Loss: 10.4777... Generator Loss: 5.1510
Epoch 1/1... Discriminator Loss: 8.8624... Generator Loss: 1.8677
Epoch 1/1... Discriminator Loss: 9.7063... Generator Loss: 3.9226
Epoch 1/1... Discriminator Loss: 8.2958... Generator Loss: 1.7028
Epoch 1/1... Discriminator Loss: 8.5197... Generator Loss: 2.8105
Epoch 1/1... Discriminator Loss: 7.8659... Generator Loss: 2.4737
Epoch 1/1... Discriminator Loss: 7.6754... Generator Loss: 0.4045
Epoch 1/1... Discriminator Loss: 7.4139... Generator Loss: 0.5001
Epoch 1/1... Discriminator Loss: 7.3137... Generator Loss: 0.4012
iteration 200
Epoch 1/1... Discriminator Loss: 6.4160... Generator Loss: 2.6704
Epoch 1/1... Discriminator Loss: 6.1149... Generator Loss: 1.5804
Epoch 1/1... Discriminator Loss: 5.9669... Generator Loss: 1.7959
Epoch 1/1... Discriminator Loss: 5.9840... Generator Loss: 0.6643
Epoch 1/1... Discriminator Loss: 7.3513... Generator Loss: 0.0479
Epoch 1/1... Discriminator Loss: 6.4188... Generator Loss: 4.0098
Epoch 1/1... Discriminator Loss: 5.6809... Generator Loss: 0.4107
Epoch 1/1... Discriminator Loss: 6.3742... Generator Loss: 0.1146
Epoch 1/1... Discriminator Loss: 5.0912... Generator Loss: 0.9693
Epoch 1/1... Discriminator Loss: 5.7765... Generator Loss: 0.2294
iteration 300
Epoch 1/1... Discriminator Loss: 4.9359... Generator Loss: 0.2889
Epoch 1/1... Discriminator Loss: 5.3289... Generator Loss: 0.1203
Epoch 1/1... Discriminator Loss: 4.8104... Generator Loss: 0.6114
Epoch 1/1... Discriminator Loss: 5.1511... Generator Loss: 0.1637
Epoch 1/1... Discriminator Loss: 4.9727... Generator Loss: 0.1556
Epoch 1/1... Discriminator Loss: 4.1146... Generator Loss: 1.4928
Epoch 1/1... Discriminator Loss: 4.4235... Generator Loss: 0.4597
Epoch 1/1... Discriminator Loss: 4.6526... Generator Loss: 0.1858
Epoch 1/1... Discriminator Loss: 5.1356... Generator Loss: 0.0811
Epoch 1/1... Discriminator Loss: 3.6371... Generator Loss: 2.1618
iteration 400
Epoch 1/1... Discriminator Loss: 3.8264... Generator Loss: 0.5862
Epoch 1/1... Discriminator Loss: 4.1675... Generator Loss: 0.2273
Epoch 1/1... Discriminator Loss: 3.7968... Generator Loss: 0.4086
Epoch 1/1... Discriminator Loss: 3.6233... Generator Loss: 0.3513
Epoch 1/1... Discriminator Loss: 3.3401... Generator Loss: 1.5567
Epoch 1/1... Discriminator Loss: 3.4801... Generator Loss: 2.7424
Epoch 1/1... Discriminator Loss: 3.5332... Generator Loss: 0.5784
Epoch 1/1... Discriminator Loss: 3.1583... Generator Loss: 1.2565
Epoch 1/1... Discriminator Loss: 3.8321... Generator Loss: 0.1560
Epoch 1/1... Discriminator Loss: 3.7261... Generator Loss: 0.1282
iteration 500
Epoch 1/1... Discriminator Loss: 3.2675... Generator Loss: 0.3413
Epoch 1/1... Discriminator Loss: 3.0769... Generator Loss: 0.3985
Epoch 1/1... Discriminator Loss: 3.5018... Generator Loss: 0.2602
Epoch 1/1... Discriminator Loss: 3.5741... Generator Loss: 0.1143
Epoch 1/1... Discriminator Loss: 2.9269... Generator Loss: 1.4158
Epoch 1/1... Discriminator Loss: 2.7419... Generator Loss: 1.3612
Epoch 1/1... Discriminator Loss: 2.9023... Generator Loss: 1.8838
Epoch 1/1... Discriminator Loss: 2.6669... Generator Loss: 0.4998
Epoch 1/1... Discriminator Loss: 2.3193... Generator Loss: 1.0475
Epoch 1/1... Discriminator Loss: 2.8642... Generator Loss: 0.9270
iteration 600
Epoch 1/1... Discriminator Loss: 2.4864... Generator Loss: 1.1265
Epoch 1/1... Discriminator Loss: 2.4311... Generator Loss: 0.4990
Epoch 1/1... Discriminator Loss: 2.6274... Generator Loss: 1.0699
Epoch 1/1... Discriminator Loss: 2.7385... Generator Loss: 1.6990
Epoch 1/1... Discriminator Loss: 2.4417... Generator Loss: 0.5483
Epoch 1/1... Discriminator Loss: 2.1102... Generator Loss: 1.1834
Epoch 1/1... Discriminator Loss: 2.9772... Generator Loss: 0.1740
Epoch 1/1... Discriminator Loss: 2.7559... Generator Loss: 1.1852
Epoch 1/1... Discriminator Loss: 2.2687... Generator Loss: 0.5258
Epoch 1/1... Discriminator Loss: 2.5010... Generator Loss: 1.4103
iteration 700
Epoch 1/1... Discriminator Loss: 2.4141... Generator Loss: 0.7247
Epoch 1/1... Discriminator Loss: 2.2693... Generator Loss: 0.4373
Epoch 1/1... Discriminator Loss: 2.6327... Generator Loss: 0.2416
Epoch 1/1... Discriminator Loss: 2.5653... Generator Loss: 1.6153
Epoch 1/1... Discriminator Loss: 2.5656... Generator Loss: 0.5092
Epoch 1/1... Discriminator Loss: 2.2118... Generator Loss: 1.2681
Epoch 1/1... Discriminator Loss: 2.2256... Generator Loss: 1.7410
Epoch 1/1... Discriminator Loss: 2.5334... Generator Loss: 0.2616
Epoch 1/1... Discriminator Loss: 1.8291... Generator Loss: 1.1163
Epoch 1/1... Discriminator Loss: 2.2921... Generator Loss: 0.2719
iteration 800
Epoch 1/1... Discriminator Loss: 3.3350... Generator Loss: 0.0565
Epoch 1/1... Discriminator Loss: 2.1727... Generator Loss: 0.6351
Epoch 1/1... Discriminator Loss: 2.2319... Generator Loss: 0.5247
Epoch 1/1... Discriminator Loss: 2.2051... Generator Loss: 0.1964
Epoch 1/1... Discriminator Loss: 1.9970... Generator Loss: 0.4898
Epoch 1/1... Discriminator Loss: 2.1958... Generator Loss: 0.2890
Epoch 1/1... Discriminator Loss: 2.4685... Generator Loss: 0.2197
Epoch 1/1... Discriminator Loss: 2.0718... Generator Loss: 0.9362
Epoch 1/1... Discriminator Loss: 2.4003... Generator Loss: 0.1460
Epoch 1/1... Discriminator Loss: 2.1492... Generator Loss: 0.5272
iteration 900
Epoch 1/1... Discriminator Loss: 2.0321... Generator Loss: 0.3642
Epoch 1/1... Discriminator Loss: 2.3478... Generator Loss: 0.1165
Epoch 1/1... Discriminator Loss: 1.5306... Generator Loss: 1.1699
Epoch 1/1... Discriminator Loss: 1.8752... Generator Loss: 0.5231
Epoch 1/1... Discriminator Loss: 2.0438... Generator Loss: 1.7602
Epoch 1/1... Discriminator Loss: 2.1456... Generator Loss: 1.2711
Epoch 1/1... Discriminator Loss: 1.7003... Generator Loss: 0.8374
Epoch 1/1... Discriminator Loss: 2.0290... Generator Loss: 0.3340
Epoch 1/1... Discriminator Loss: 1.7510... Generator Loss: 0.4470
Epoch 1/1... Discriminator Loss: 1.9998... Generator Loss: 0.4565
iteration 1000
Epoch 1/1... Discriminator Loss: 1.5073... Generator Loss: 0.9331
Epoch 1/1... Discriminator Loss: 1.6423... Generator Loss: 0.5956
Epoch 1/1... Discriminator Loss: 1.6166... Generator Loss: 1.5243
Epoch 1/1... Discriminator Loss: 1.5569... Generator Loss: 1.1003
Epoch 1/1... Discriminator Loss: 1.8758... Generator Loss: 1.2790
Epoch 1/1... Discriminator Loss: 1.5504... Generator Loss: 0.6973
Epoch 1/1... Discriminator Loss: 2.0739... Generator Loss: 1.4565
Epoch 1/1... Discriminator Loss: 2.2050... Generator Loss: 0.2149
Epoch 1/1... Discriminator Loss: 1.6075... Generator Loss: 0.4806
Epoch 1/1... Discriminator Loss: 1.6338... Generator Loss: 0.4136
iteration 1100
Epoch 1/1... Discriminator Loss: 1.5662... Generator Loss: 1.1449
Epoch 1/1... Discriminator Loss: 1.6245... Generator Loss: 1.1210
Epoch 1/1... Discriminator Loss: 1.8748... Generator Loss: 0.3026
Epoch 1/1... Discriminator Loss: 1.5735... Generator Loss: 0.9379
Epoch 1/1... Discriminator Loss: 1.5788... Generator Loss: 1.5210
Epoch 1/1... Discriminator Loss: 1.9900... Generator Loss: 1.0794
Epoch 1/1... Discriminator Loss: 1.8506... Generator Loss: 0.2573
Epoch 1/1... Discriminator Loss: 1.6986... Generator Loss: 1.3456
Epoch 1/1... Discriminator Loss: 1.8569... Generator Loss: 0.4230
Epoch 1/1... Discriminator Loss: 2.0393... Generator Loss: 0.2060
iteration 1200
Epoch 1/1... Discriminator Loss: 1.7918... Generator Loss: 0.3522
Epoch 1/1... Discriminator Loss: 1.6014... Generator Loss: 0.7560
Epoch 1/1... Discriminator Loss: 1.8149... Generator Loss: 0.3467
Epoch 1/1... Discriminator Loss: 1.8964... Generator Loss: 0.6328
Epoch 1/1... Discriminator Loss: 1.4550... Generator Loss: 0.8561
Epoch 1/1... Discriminator Loss: 1.7201... Generator Loss: 0.5927
Epoch 1/1... Discriminator Loss: 2.2933... Generator Loss: 0.1786
Epoch 1/1... Discriminator Loss: 2.1039... Generator Loss: 0.1578
Epoch 1/1... Discriminator Loss: 1.8740... Generator Loss: 0.4784
Epoch 1/1... Discriminator Loss: 1.7097... Generator Loss: 0.4027
iteration 1300
Epoch 1/1... Discriminator Loss: 2.1237... Generator Loss: 0.1809
Epoch 1/1... Discriminator Loss: 1.4563... Generator Loss: 0.6710
Epoch 1/1... Discriminator Loss: 2.0629... Generator Loss: 0.1901
Epoch 1/1... Discriminator Loss: 1.8071... Generator Loss: 0.2427
Epoch 1/1... Discriminator Loss: 1.6080... Generator Loss: 1.0224
Epoch 1/1... Discriminator Loss: 2.3260... Generator Loss: 0.1332
Epoch 1/1... Discriminator Loss: 1.4287... Generator Loss: 1.2182
Epoch 1/1... Discriminator Loss: 1.5998... Generator Loss: 0.7765
Epoch 1/1... Discriminator Loss: 1.6659... Generator Loss: 0.4453
Epoch 1/1... Discriminator Loss: 1.5675... Generator Loss: 1.0070
iteration 1400
Epoch 1/1... Discriminator Loss: 2.0376... Generator Loss: 0.1743
Epoch 1/1... Discriminator Loss: 1.5966... Generator Loss: 0.5570
Epoch 1/1... Discriminator Loss: 1.9860... Generator Loss: 0.1875
Epoch 1/1... Discriminator Loss: 2.1800... Generator Loss: 0.1905
Epoch 1/1... Discriminator Loss: 1.6157... Generator Loss: 0.3502
Epoch 1/1... Discriminator Loss: 1.4705... Generator Loss: 0.4487
Epoch 1/1... Discriminator Loss: 1.4523... Generator Loss: 1.1039
Epoch 1/1... Discriminator Loss: 1.5468... Generator Loss: 1.1742
Epoch 1/1... Discriminator Loss: 1.6032... Generator Loss: 0.3001
Epoch 1/1... Discriminator Loss: 1.4385... Generator Loss: 1.1250
iteration 1500
Epoch 1/1... Discriminator Loss: 1.5292... Generator Loss: 0.6593
Epoch 1/1... Discriminator Loss: 1.6537... Generator Loss: 0.2527
Epoch 1/1... Discriminator Loss: 1.4845... Generator Loss: 0.6208
Epoch 1/1... Discriminator Loss: 1.4417... Generator Loss: 0.6101
Epoch 1/1... Discriminator Loss: 1.3820... Generator Loss: 1.0992
Epoch 1/1... Discriminator Loss: 1.7965... Generator Loss: 0.2486
Epoch 1/1... Discriminator Loss: 1.9246... Generator Loss: 0.2135
Epoch 1/1... Discriminator Loss: 1.3298... Generator Loss: 0.4493
Epoch 1/1... Discriminator Loss: 1.9281... Generator Loss: 0.1636
Epoch 1/1... Discriminator Loss: 1.5815... Generator Loss: 1.1356
iteration 1600
Epoch 1/1... Discriminator Loss: 1.4528... Generator Loss: 1.4027
Epoch 1/1... Discriminator Loss: 1.7688... Generator Loss: 0.1713
Epoch 1/1... Discriminator Loss: 1.3546... Generator Loss: 1.1122
Epoch 1/1... Discriminator Loss: 1.5221... Generator Loss: 0.4203
Epoch 1/1... Discriminator Loss: 1.4208... Generator Loss: 0.6827
Epoch 1/1... Discriminator Loss: 1.4277... Generator Loss: 0.5544
Epoch 1/1... Discriminator Loss: 1.5069... Generator Loss: 1.0211
Epoch 1/1... Discriminator Loss: 1.4435... Generator Loss: 0.3584
Epoch 1/1... Discriminator Loss: 1.4583... Generator Loss: 0.5086
Epoch 1/1... Discriminator Loss: 1.7610... Generator Loss: 0.4560
iteration 1700
Epoch 1/1... Discriminator Loss: 1.5503... Generator Loss: 1.3936
Epoch 1/1... Discriminator Loss: 1.5669... Generator Loss: 0.8271
Epoch 1/1... Discriminator Loss: 1.7735... Generator Loss: 0.3367
Epoch 1/1... Discriminator Loss: 1.4814... Generator Loss: 0.7973
Epoch 1/1... Discriminator Loss: 1.3830... Generator Loss: 0.2966
Epoch 1/1... Discriminator Loss: 1.4410... Generator Loss: 0.3269
Epoch 1/1... Discriminator Loss: 1.4351... Generator Loss: 0.4663
Epoch 1/1... Discriminator Loss: 1.3364... Generator Loss: 0.7080
Epoch 1/1... Discriminator Loss: 1.7107... Generator Loss: 0.4222
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 1.3874
iteration 1800
Epoch 1/1... Discriminator Loss: 1.3061... Generator Loss: 1.2764
Epoch 1/1... Discriminator Loss: 1.4473... Generator Loss: 0.5515
Epoch 1/1... Discriminator Loss: 1.3810... Generator Loss: 1.4538
Epoch 1/1... Discriminator Loss: 1.3295... Generator Loss: 1.2566
Epoch 1/1... Discriminator Loss: 1.5201... Generator Loss: 1.1316
Epoch 1/1... Discriminator Loss: 1.9639... Generator Loss: 0.1996
Epoch 1/1... Discriminator Loss: 1.7320... Generator Loss: 0.6564
Epoch 1/1... Discriminator Loss: 1.5808... Generator Loss: 0.2970
Epoch 1/1... Discriminator Loss: 1.5206... Generator Loss: 0.2877
Epoch 1/1... Discriminator Loss: 1.7743... Generator Loss: 0.3085
iteration 1900
Epoch 1/1... Discriminator Loss: 1.5667... Generator Loss: 0.6008
Epoch 1/1... Discriminator Loss: 1.5583... Generator Loss: 0.4175
Epoch 1/1... Discriminator Loss: 1.6224... Generator Loss: 0.8888
Epoch 1/1... Discriminator Loss: 1.3672... Generator Loss: 0.9470
Epoch 1/1... Discriminator Loss: 1.8044... Generator Loss: 1.0217
Epoch 1/1... Discriminator Loss: 1.4126... Generator Loss: 0.6935
Epoch 1/1... Discriminator Loss: 1.5140... Generator Loss: 0.4707
Epoch 1/1... Discriminator Loss: 1.6994... Generator Loss: 0.3655
Epoch 1/1... Discriminator Loss: 1.6010... Generator Loss: 0.2852
Epoch 1/1... Discriminator Loss: 1.5000... Generator Loss: 0.7042
iteration 2000
Epoch 1/1... Discriminator Loss: 1.5113... Generator Loss: 0.4741
Epoch 1/1... Discriminator Loss: 1.3560... Generator Loss: 0.7773
Epoch 1/1... Discriminator Loss: 1.5447... Generator Loss: 0.4280
Epoch 1/1... Discriminator Loss: 1.3652... Generator Loss: 0.7888
Epoch 1/1... Discriminator Loss: 1.5473... Generator Loss: 0.4805
Epoch 1/1... Discriminator Loss: 1.6665... Generator Loss: 0.2032
Epoch 1/1... Discriminator Loss: 1.4310... Generator Loss: 0.4530
Epoch 1/1... Discriminator Loss: 1.4938... Generator Loss: 0.8070
Epoch 1/1... Discriminator Loss: 1.7399... Generator Loss: 0.2438
Epoch 1/1... Discriminator Loss: 1.5989... Generator Loss: 0.3937
iteration 2100
Epoch 1/1... Discriminator Loss: 1.4023... Generator Loss: 0.4964
Epoch 1/1... Discriminator Loss: 1.6202... Generator Loss: 0.3025
Epoch 1/1... Discriminator Loss: 1.5268... Generator Loss: 0.4968
Epoch 1/1... Discriminator Loss: 1.9133... Generator Loss: 0.1704
Epoch 1/1... Discriminator Loss: 1.3676... Generator Loss: 0.3744
Epoch 1/1... Discriminator Loss: 1.2898... Generator Loss: 0.4774
Epoch 1/1... Discriminator Loss: 1.9076... Generator Loss: 0.1561
Epoch 1/1... Discriminator Loss: 1.4036... Generator Loss: 0.7057
Epoch 1/1... Discriminator Loss: 1.4269... Generator Loss: 0.7918
Epoch 1/1... Discriminator Loss: 1.6376... Generator Loss: 0.7717
iteration 2200
Epoch 1/1... Discriminator Loss: 1.4450... Generator Loss: 0.3545
Epoch 1/1... Discriminator Loss: 1.7652... Generator Loss: 0.2539
Epoch 1/1... Discriminator Loss: 1.4226... Generator Loss: 1.0148
Epoch 1/1... Discriminator Loss: 1.2775... Generator Loss: 0.6666
Epoch 1/1... Discriminator Loss: 1.3639... Generator Loss: 0.6758
Epoch 1/1... Discriminator Loss: 1.2665... Generator Loss: 0.9228
Epoch 1/1... Discriminator Loss: 1.4562... Generator Loss: 0.6770
Epoch 1/1... Discriminator Loss: 1.4095... Generator Loss: 0.5944
Epoch 1/1... Discriminator Loss: 1.6280... Generator Loss: 0.6004
Epoch 1/1... Discriminator Loss: 1.5827... Generator Loss: 0.4455
iteration 2300
Epoch 1/1... Discriminator Loss: 1.1432... Generator Loss: 0.7225
Epoch 1/1... Discriminator Loss: 1.4621... Generator Loss: 0.4158
Epoch 1/1... Discriminator Loss: 1.7987... Generator Loss: 0.4094
Epoch 1/1... Discriminator Loss: 1.6567... Generator Loss: 0.3440
Epoch 1/1... Discriminator Loss: 1.3760... Generator Loss: 0.9639
Epoch 1/1... Discriminator Loss: 1.5437... Generator Loss: 0.2705
Epoch 1/1... Discriminator Loss: 1.6843... Generator Loss: 0.3724
Epoch 1/1... Discriminator Loss: 1.5322... Generator Loss: 0.3480
Epoch 1/1... Discriminator Loss: 1.4276... Generator Loss: 0.8978
Epoch 1/1... Discriminator Loss: 1.5471... Generator Loss: 0.5786
iteration 2400
Epoch 1/1... Discriminator Loss: 1.2735... Generator Loss: 0.5809
Epoch 1/1... Discriminator Loss: 1.7315... Generator Loss: 0.1793
Epoch 1/1... Discriminator Loss: 1.8721... Generator Loss: 0.3558
Epoch 1/1... Discriminator Loss: 1.7324... Generator Loss: 0.3629
Epoch 1/1... Discriminator Loss: 1.4407... Generator Loss: 0.5363
Epoch 1/1... Discriminator Loss: 1.4362... Generator Loss: 0.6137
Epoch 1/1... Discriminator Loss: 1.3441... Generator Loss: 1.0772
Epoch 1/1... Discriminator Loss: 1.8287... Generator Loss: 0.1930
Epoch 1/1... Discriminator Loss: 1.5465... Generator Loss: 0.4592
Epoch 1/1... Discriminator Loss: 1.3012... Generator Loss: 0.5454
iteration 2500
Epoch 1/1... Discriminator Loss: 1.5780... Generator Loss: 0.3316
Epoch 1/1... Discriminator Loss: 1.6523... Generator Loss: 0.6998
Epoch 1/1... Discriminator Loss: 1.5469... Generator Loss: 1.2867
Epoch 1/1... Discriminator Loss: 1.6017... Generator Loss: 0.3940
Epoch 1/1... Discriminator Loss: 1.8413... Generator Loss: 0.2632
Epoch 1/1... Discriminator Loss: 1.3731... Generator Loss: 0.6743
Epoch 1/1... Discriminator Loss: 1.4937... Generator Loss: 0.3424
Epoch 1/1... Discriminator Loss: 1.2645... Generator Loss: 0.6972
Epoch 1/1... Discriminator Loss: 1.3576... Generator Loss: 0.5477
Epoch 1/1... Discriminator Loss: 1.4117... Generator Loss: 0.5565
iteration 2600
Epoch 1/1... Discriminator Loss: 1.4808... Generator Loss: 0.4733
Epoch 1/1... Discriminator Loss: 1.6575... Generator Loss: 0.9597
Epoch 1/1... Discriminator Loss: 1.5695... Generator Loss: 0.3016
Epoch 1/1... Discriminator Loss: 1.7856... Generator Loss: 0.2472
Epoch 1/1... Discriminator Loss: 1.5332... Generator Loss: 0.3114
Epoch 1/1... Discriminator Loss: 1.3214... Generator Loss: 0.4841
Epoch 1/1... Discriminator Loss: 1.4427... Generator Loss: 0.4642
Epoch 1/1... Discriminator Loss: 1.3652... Generator Loss: 0.6309
Epoch 1/1... Discriminator Loss: 1.4633... Generator Loss: 0.9035
Epoch 1/1... Discriminator Loss: 1.5647... Generator Loss: 0.5141
iteration 2700
Epoch 1/1... Discriminator Loss: 1.7238... Generator Loss: 0.3706
Epoch 1/1... Discriminator Loss: 1.5812... Generator Loss: 0.3196
Epoch 1/1... Discriminator Loss: 1.1668... Generator Loss: 0.8431
Epoch 1/1... Discriminator Loss: 1.3989... Generator Loss: 0.5213
Epoch 1/1... Discriminator Loss: 1.2495... Generator Loss: 0.4526
Epoch 1/1... Discriminator Loss: 1.4066... Generator Loss: 0.8508
Epoch 1/1... Discriminator Loss: 1.3750... Generator Loss: 0.4072
Epoch 1/1... Discriminator Loss: 1.6567... Generator Loss: 0.5697
Epoch 1/1... Discriminator Loss: 1.4917... Generator Loss: 0.5872
Epoch 1/1... Discriminator Loss: 1.1301... Generator Loss: 0.5355
iteration 2800
Epoch 1/1... Discriminator Loss: 1.4965... Generator Loss: 0.4502
Epoch 1/1... Discriminator Loss: 1.4000... Generator Loss: 0.6141
Epoch 1/1... Discriminator Loss: 1.5707... Generator Loss: 0.2276
Epoch 1/1... Discriminator Loss: 1.3508... Generator Loss: 0.4684
Epoch 1/1... Discriminator Loss: 1.3782... Generator Loss: 0.4853
Epoch 1/1... Discriminator Loss: 1.3896... Generator Loss: 0.3123
Epoch 1/1... Discriminator Loss: 1.5806... Generator Loss: 0.3575
Epoch 1/1... Discriminator Loss: 1.3698... Generator Loss: 0.6387
Epoch 1/1... Discriminator Loss: 1.3058... Generator Loss: 0.6984
Epoch 1/1... Discriminator Loss: 1.3084... Generator Loss: 0.7542
iteration 2900
Epoch 1/1... Discriminator Loss: 1.3000... Generator Loss: 0.8303
Epoch 1/1... Discriminator Loss: 1.4195... Generator Loss: 0.8892
Epoch 1/1... Discriminator Loss: 1.5472... Generator Loss: 0.5628
Epoch 1/1... Discriminator Loss: 1.3823... Generator Loss: 0.7441
Epoch 1/1... Discriminator Loss: 1.1921... Generator Loss: 0.6250
Epoch 1/1... Discriminator Loss: 1.4366... Generator Loss: 0.6088
Epoch 1/1... Discriminator Loss: 1.5790... Generator Loss: 0.3411
Epoch 1/1... Discriminator Loss: 1.4815... Generator Loss: 0.8540
Epoch 1/1... Discriminator Loss: 1.5516... Generator Loss: 0.4574
Epoch 1/1... Discriminator Loss: 1.6653... Generator Loss: 0.2725
iteration 3000
Epoch 1/1... Discriminator Loss: 1.7026... Generator Loss: 0.5668
Epoch 1/1... Discriminator Loss: 1.3420... Generator Loss: 0.5258
Epoch 1/1... Discriminator Loss: 1.3664... Generator Loss: 0.5028
Epoch 1/1... Discriminator Loss: 1.7960... Generator Loss: 0.2207
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.5128
Epoch 1/1... Discriminator Loss: 1.3777... Generator Loss: 0.5199
Epoch 1/1... Discriminator Loss: 1.3976... Generator Loss: 0.4586
Epoch 1/1... Discriminator Loss: 1.4839... Generator Loss: 1.0077
Epoch 1/1... Discriminator Loss: 1.4573... Generator Loss: 0.5509
Epoch 1/1... Discriminator Loss: 1.2107... Generator Loss: 0.5728
iteration 3100
Epoch 1/1... Discriminator Loss: 1.4632... Generator Loss: 0.5489
Epoch 1/1... Discriminator Loss: 1.1826... Generator Loss: 0.9978
Epoch 1/1... Discriminator Loss: 1.3905... Generator Loss: 0.5207
Epoch 1/1... Discriminator Loss: 1.2844... Generator Loss: 0.4778
Epoch 1/1... Discriminator Loss: 1.4861... Generator Loss: 0.6986
Epoch 1/1... Discriminator Loss: 1.3149... Generator Loss: 0.9204
Epoch 1/1... Discriminator Loss: 1.5808... Generator Loss: 0.4090
Epoch 1/1... Discriminator Loss: 1.5695... Generator Loss: 0.4242
Epoch 1/1... Discriminator Loss: 1.6307... Generator Loss: 0.2499
Epoch 1/1... Discriminator Loss: 1.8115... Generator Loss: 0.3048
iteration 3200
Epoch 1/1... Discriminator Loss: 1.5629... Generator Loss: 0.3991
Epoch 1/1... Discriminator Loss: 1.2484... Generator Loss: 0.8252
Epoch 1/1... Discriminator Loss: 1.3235... Generator Loss: 1.1310
Epoch 1/1... Discriminator Loss: 1.3742... Generator Loss: 0.7554
Epoch 1/1... Discriminator Loss: 1.5784... Generator Loss: 0.2890
Epoch 1/1... Discriminator Loss: 1.5836... Generator Loss: 0.3679
Epoch 1/1... Discriminator Loss: 1.4687... Generator Loss: 0.4518
Epoch 1/1... Discriminator Loss: 1.3463... Generator Loss: 0.6187
Epoch 1/1... Discriminator Loss: 1.3007... Generator Loss: 0.4497
Epoch 1/1... Discriminator Loss: 1.4836... Generator Loss: 0.3802
iteration 3300
Epoch 1/1... Discriminator Loss: 1.5457... Generator Loss: 0.2858
Epoch 1/1... Discriminator Loss: 1.4582... Generator Loss: 0.3012
Epoch 1/1... Discriminator Loss: 1.3938... Generator Loss: 0.5361
Epoch 1/1... Discriminator Loss: 1.5485... Generator Loss: 0.4250
Epoch 1/1... Discriminator Loss: 1.3687... Generator Loss: 0.4766
Epoch 1/1... Discriminator Loss: 1.3338... Generator Loss: 0.9843
Epoch 1/1... Discriminator Loss: 1.3393... Generator Loss: 0.6735
Epoch 1/1... Discriminator Loss: 1.4194... Generator Loss: 0.5774
Epoch 1/1... Discriminator Loss: 1.3761... Generator Loss: 0.6551
Epoch 1/1... Discriminator Loss: 1.2606... Generator Loss: 0.8647
iteration 3400
Epoch 1/1... Discriminator Loss: 1.6551... Generator Loss: 0.2909
Epoch 1/1... Discriminator Loss: 1.7006... Generator Loss: 0.3475
Epoch 1/1... Discriminator Loss: 1.4973... Generator Loss: 0.4214
Epoch 1/1... Discriminator Loss: 1.3592... Generator Loss: 0.8942
Epoch 1/1... Discriminator Loss: 1.5621... Generator Loss: 0.4373
Epoch 1/1... Discriminator Loss: 1.5339... Generator Loss: 0.3119
Epoch 1/1... Discriminator Loss: 1.4647... Generator Loss: 0.6787
Epoch 1/1... Discriminator Loss: 1.5818... Generator Loss: 0.4143
Epoch 1/1... Discriminator Loss: 1.3057... Generator Loss: 0.5565
Epoch 1/1... Discriminator Loss: 1.9733... Generator Loss: 0.1249
iteration 3500
Epoch 1/1... Discriminator Loss: 1.5026... Generator Loss: 0.7279
Epoch 1/1... Discriminator Loss: 1.7276... Generator Loss: 0.2751
Epoch 1/1... Discriminator Loss: 1.4415... Generator Loss: 0.5584
Epoch 1/1... Discriminator Loss: 1.3882... Generator Loss: 0.7400
Epoch 1/1... Discriminator Loss: 1.3765... Generator Loss: 0.4304
Epoch 1/1... Discriminator Loss: 1.5528... Generator Loss: 1.2302
Epoch 1/1... Discriminator Loss: 1.3773... Generator Loss: 0.5599
Epoch 1/1... Discriminator Loss: 1.5778... Generator Loss: 0.3667
Epoch 1/1... Discriminator Loss: 1.4606... Generator Loss: 0.7168
Epoch 1/1... Discriminator Loss: 1.2867... Generator Loss: 0.8285
iteration 3600
Epoch 1/1... Discriminator Loss: 1.6438... Generator Loss: 0.2763
Epoch 1/1... Discriminator Loss: 1.6065... Generator Loss: 0.3533
Epoch 1/1... Discriminator Loss: 1.3984... Generator Loss: 0.5645
Epoch 1/1... Discriminator Loss: 1.6370... Generator Loss: 0.4925
Epoch 1/1... Discriminator Loss: 1.4416... Generator Loss: 0.3180
Epoch 1/1... Discriminator Loss: 1.5858... Generator Loss: 0.2963
Epoch 1/1... Discriminator Loss: 1.7234... Generator Loss: 0.2655
Epoch 1/1... Discriminator Loss: 1.9350... Generator Loss: 0.4023
Epoch 1/1... Discriminator Loss: 1.4394... Generator Loss: 0.6261
Epoch 1/1... Discriminator Loss: 1.3887... Generator Loss: 0.7932
iteration 3700
Epoch 1/1... Discriminator Loss: 1.5523... Generator Loss: 0.3207
Epoch 1/1... Discriminator Loss: 1.5727... Generator Loss: 0.7987
Epoch 1/1... Discriminator Loss: 1.6908... Generator Loss: 0.3335
Epoch 1/1... Discriminator Loss: 1.4273... Generator Loss: 0.5473
Epoch 1/1... Discriminator Loss: 1.5570... Generator Loss: 0.4895
Epoch 1/1... Discriminator Loss: 1.6171... Generator Loss: 0.5834
Epoch 1/1... Discriminator Loss: 1.4996... Generator Loss: 0.3426
Epoch 1/1... Discriminator Loss: 1.5287... Generator Loss: 0.4525
Epoch 1/1... Discriminator Loss: 1.6702... Generator Loss: 0.4249
Epoch 1/1... Discriminator Loss: 1.2425... Generator Loss: 0.5165
iteration 3800
Epoch 1/1... Discriminator Loss: 1.4732... Generator Loss: 0.8082
Epoch 1/1... Discriminator Loss: 1.3205... Generator Loss: 0.6270
Epoch 1/1... Discriminator Loss: 1.3274... Generator Loss: 0.3793
Epoch 1/1... Discriminator Loss: 1.5554... Generator Loss: 0.8372
Epoch 1/1... Discriminator Loss: 1.7863... Generator Loss: 0.2067
Epoch 1/1... Discriminator Loss: 1.5624... Generator Loss: 0.3746
Epoch 1/1... Discriminator Loss: 1.3859... Generator Loss: 0.5645
Epoch 1/1... Discriminator Loss: 1.4419... Generator Loss: 0.7309
Epoch 1/1... Discriminator Loss: 1.4591... Generator Loss: 0.5246
Epoch 1/1... Discriminator Loss: 1.2518... Generator Loss: 0.4953
iteration 3900
Epoch 1/1... Discriminator Loss: 1.5440... Generator Loss: 0.4725
Epoch 1/1... Discriminator Loss: 1.4891... Generator Loss: 0.5419
Epoch 1/1... Discriminator Loss: 1.4716... Generator Loss: 0.4249
Epoch 1/1... Discriminator Loss: 1.3516... Generator Loss: 0.6615
Epoch 1/1... Discriminator Loss: 1.5557... Generator Loss: 0.7095
Epoch 1/1... Discriminator Loss: 1.4364... Generator Loss: 0.6554
Epoch 1/1... Discriminator Loss: 1.2244... Generator Loss: 0.8771
Epoch 1/1... Discriminator Loss: 1.3536... Generator Loss: 0.7520
Epoch 1/1... Discriminator Loss: 1.4245... Generator Loss: 0.6068
Epoch 1/1... Discriminator Loss: 1.2536... Generator Loss: 0.6115
iteration 4000
Epoch 1/1... Discriminator Loss: 1.6970... Generator Loss: 0.2874
Epoch 1/1... Discriminator Loss: 1.5840... Generator Loss: 0.5085
Epoch 1/1... Discriminator Loss: 1.4853... Generator Loss: 0.5051
Epoch 1/1... Discriminator Loss: 1.6011... Generator Loss: 0.2625
Epoch 1/1... Discriminator Loss: 1.2865... Generator Loss: 0.5576
Epoch 1/1... Discriminator Loss: 1.4796... Generator Loss: 0.4911
Epoch 1/1... Discriminator Loss: 1.4372... Generator Loss: 0.7103
Epoch 1/1... Discriminator Loss: 1.3534... Generator Loss: 0.4822
Epoch 1/1... Discriminator Loss: 1.3575... Generator Loss: 0.5295
Epoch 1/1... Discriminator Loss: 1.6294... Generator Loss: 0.3285
iteration 4100
Epoch 1/1... Discriminator Loss: 1.5400... Generator Loss: 0.7556
Epoch 1/1... Discriminator Loss: 1.5861... Generator Loss: 1.1944
Epoch 1/1... Discriminator Loss: 1.3024... Generator Loss: 0.6724
Epoch 1/1... Discriminator Loss: 1.3694... Generator Loss: 0.4154
Epoch 1/1... Discriminator Loss: 1.4996... Generator Loss: 0.3401
Epoch 1/1... Discriminator Loss: 2.0044... Generator Loss: 1.3956
Epoch 1/1... Discriminator Loss: 1.4163... Generator Loss: 0.5447
Epoch 1/1... Discriminator Loss: 1.5056... Generator Loss: 0.3681
Epoch 1/1... Discriminator Loss: 1.4287... Generator Loss: 0.4596
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.7829
iteration 4200
Epoch 1/1... Discriminator Loss: 1.6949... Generator Loss: 0.2971
Epoch 1/1... Discriminator Loss: 1.4993... Generator Loss: 0.5299
Epoch 1/1... Discriminator Loss: 1.3332... Generator Loss: 0.7326
Epoch 1/1... Discriminator Loss: 1.3490... Generator Loss: 0.5131
Epoch 1/1... Discriminator Loss: 1.5046... Generator Loss: 0.3271
Epoch 1/1... Discriminator Loss: 1.5189... Generator Loss: 0.4103
Epoch 1/1... Discriminator Loss: 1.5339... Generator Loss: 0.3987
Epoch 1/1... Discriminator Loss: 1.1959... Generator Loss: 0.5119
Epoch 1/1... Discriminator Loss: 1.3306... Generator Loss: 0.5258
Epoch 1/1... Discriminator Loss: 1.3670... Generator Loss: 0.7753
iteration 4300
Epoch 1/1... Discriminator Loss: 1.2292... Generator Loss: 0.8651
Epoch 1/1... Discriminator Loss: 1.2317... Generator Loss: 0.5096
Epoch 1/1... Discriminator Loss: 1.4566... Generator Loss: 0.4765
Epoch 1/1... Discriminator Loss: 1.4202... Generator Loss: 0.4346
Epoch 1/1... Discriminator Loss: 1.3456... Generator Loss: 0.6675
Epoch 1/1... Discriminator Loss: 1.3710... Generator Loss: 0.3967
Epoch 1/1... Discriminator Loss: 1.3475... Generator Loss: 0.7182
Epoch 1/1... Discriminator Loss: 1.2864... Generator Loss: 0.9871
Epoch 1/1... Discriminator Loss: 1.2961... Generator Loss: 0.6272
Epoch 1/1... Discriminator Loss: 1.5122... Generator Loss: 0.4891
iteration 4400
Epoch 1/1... Discriminator Loss: 1.4842... Generator Loss: 0.3695
Epoch 1/1... Discriminator Loss: 1.4135... Generator Loss: 0.5198
Epoch 1/1... Discriminator Loss: 1.6371... Generator Loss: 0.3140
Epoch 1/1... Discriminator Loss: 1.3512... Generator Loss: 0.4152
Epoch 1/1... Discriminator Loss: 1.4446... Generator Loss: 0.3991
Epoch 1/1... Discriminator Loss: 1.4719... Generator Loss: 0.8326
Epoch 1/1... Discriminator Loss: 1.5412... Generator Loss: 0.4120
Epoch 1/1... Discriminator Loss: 1.3665... Generator Loss: 0.7738
Epoch 1/1... Discriminator Loss: 1.3776... Generator Loss: 0.3090
Epoch 1/1... Discriminator Loss: 1.4020... Generator Loss: 0.7697
iteration 4500
Epoch 1/1... Discriminator Loss: 1.6064... Generator Loss: 0.4959
Epoch 1/1... Discriminator Loss: 1.2897... Generator Loss: 0.5438
Epoch 1/1... Discriminator Loss: 1.6260... Generator Loss: 0.3452
Epoch 1/1... Discriminator Loss: 1.3238... Generator Loss: 0.4315
Epoch 1/1... Discriminator Loss: 1.5189... Generator Loss: 0.4193
Epoch 1/1... Discriminator Loss: 1.4895... Generator Loss: 0.5768
Epoch 1/1... Discriminator Loss: 1.4692... Generator Loss: 0.7438
Epoch 1/1... Discriminator Loss: 1.5702... Generator Loss: 0.2941
Epoch 1/1... Discriminator Loss: 1.7560... Generator Loss: 0.2644
Epoch 1/1... Discriminator Loss: 1.4107... Generator Loss: 0.4898
iteration 4600
Epoch 1/1... Discriminator Loss: 1.3256... Generator Loss: 0.7472
Epoch 1/1... Discriminator Loss: 1.3111... Generator Loss: 0.5365
Epoch 1/1... Discriminator Loss: 1.5286... Generator Loss: 0.3414
Epoch 1/1... Discriminator Loss: 1.5103... Generator Loss: 0.3468
Epoch 1/1... Discriminator Loss: 1.2424... Generator Loss: 0.4377
Epoch 1/1... Discriminator Loss: 1.5410... Generator Loss: 0.4447
Epoch 1/1... Discriminator Loss: 1.5509... Generator Loss: 0.3483
Epoch 1/1... Discriminator Loss: 1.4191... Generator Loss: 0.9305
Epoch 1/1... Discriminator Loss: 1.3215... Generator Loss: 0.4747
Epoch 1/1... Discriminator Loss: 1.3561... Generator Loss: 0.3009
iteration 4700
Epoch 1/1... Discriminator Loss: 1.3754... Generator Loss: 0.4028
Epoch 1/1... Discriminator Loss: 1.7752... Generator Loss: 0.3131
Epoch 1/1... Discriminator Loss: 1.6350... Generator Loss: 0.4806
Epoch 1/1... Discriminator Loss: 0.9036... Generator Loss: 1.0412
Epoch 1/1... Discriminator Loss: 1.3927... Generator Loss: 0.6056
Epoch 1/1... Discriminator Loss: 1.4690... Generator Loss: 0.6069
Epoch 1/1... Discriminator Loss: 1.3918... Generator Loss: 0.4305
Epoch 1/1... Discriminator Loss: 1.4358... Generator Loss: 0.3334
Epoch 1/1... Discriminator Loss: 1.3483... Generator Loss: 0.5495
Epoch 1/1... Discriminator Loss: 1.4135... Generator Loss: 0.4266
iteration 4800
Epoch 1/1... Discriminator Loss: 1.3516... Generator Loss: 0.6597
Epoch 1/1... Discriminator Loss: 1.3582... Generator Loss: 0.5505
Epoch 1/1... Discriminator Loss: 1.4398... Generator Loss: 0.4203
Epoch 1/1... Discriminator Loss: 1.4192... Generator Loss: 0.6350
Epoch 1/1... Discriminator Loss: 1.6397... Generator Loss: 0.3707
Epoch 1/1... Discriminator Loss: 1.4133... Generator Loss: 0.3365
Epoch 1/1... Discriminator Loss: 1.3806... Generator Loss: 0.3552
Epoch 1/1... Discriminator Loss: 1.6228... Generator Loss: 0.4196
Epoch 1/1... Discriminator Loss: 1.5001... Generator Loss: 0.9392
Epoch 1/1... Discriminator Loss: 1.3962... Generator Loss: 0.3263
iteration 4900
Epoch 1/1... Discriminator Loss: 1.3214... Generator Loss: 0.3572
Epoch 1/1... Discriminator Loss: 1.3991... Generator Loss: 0.4998
Epoch 1/1... Discriminator Loss: 1.7152... Generator Loss: 0.2082
Epoch 1/1... Discriminator Loss: 1.5076... Generator Loss: 0.6031
Epoch 1/1... Discriminator Loss: 1.2477... Generator Loss: 0.5276
Epoch 1/1... Discriminator Loss: 1.3192... Generator Loss: 0.4920
Epoch 1/1... Discriminator Loss: 1.6257... Generator Loss: 0.2815
Epoch 1/1... Discriminator Loss: 1.4455... Generator Loss: 0.3593
Epoch 1/1... Discriminator Loss: 1.4614... Generator Loss: 0.5025
Epoch 1/1... Discriminator Loss: 1.4695... Generator Loss: 0.5316
iteration 5000
Epoch 1/1... Discriminator Loss: 1.4611... Generator Loss: 0.4909
Epoch 1/1... Discriminator Loss: 1.3633... Generator Loss: 0.8383
Epoch 1/1... Discriminator Loss: 1.4512... Generator Loss: 0.4234
Epoch 1/1... Discriminator Loss: 1.4011... Generator Loss: 0.4016
Epoch 1/1... Discriminator Loss: 1.4670... Generator Loss: 0.5802
Epoch 1/1... Discriminator Loss: 1.4246... Generator Loss: 0.4473
Epoch 1/1... Discriminator Loss: 1.3104... Generator Loss: 0.5456
Epoch 1/1... Discriminator Loss: 1.3660... Generator Loss: 0.6384
Epoch 1/1... Discriminator Loss: 1.4490... Generator Loss: 0.4784
Epoch 1/1... Discriminator Loss: 1.3339... Generator Loss: 0.5632
iteration 5100
Epoch 1/1... Discriminator Loss: 1.6144... Generator Loss: 0.5645
Epoch 1/1... Discriminator Loss: 1.3612... Generator Loss: 0.7224
Epoch 1/1... Discriminator Loss: 1.5057... Generator Loss: 0.6409
Epoch 1/1... Discriminator Loss: 1.3539... Generator Loss: 0.5547
Epoch 1/1... Discriminator Loss: 1.5396... Generator Loss: 0.3593
Epoch 1/1... Discriminator Loss: 1.4293... Generator Loss: 0.4759
Epoch 1/1... Discriminator Loss: 1.4142... Generator Loss: 0.5277
Epoch 1/1... Discriminator Loss: 1.5740... Generator Loss: 0.3520
Epoch 1/1... Discriminator Loss: 1.6564... Generator Loss: 0.3407
Epoch 1/1... Discriminator Loss: 1.3336... Generator Loss: 0.5838
iteration 5200
Epoch 1/1... Discriminator Loss: 1.2865... Generator Loss: 0.5082
Epoch 1/1... Discriminator Loss: 1.7490... Generator Loss: 0.2588
Epoch 1/1... Discriminator Loss: 1.4962... Generator Loss: 0.3188
Epoch 1/1... Discriminator Loss: 1.3285... Generator Loss: 0.4535
Epoch 1/1... Discriminator Loss: 1.2870... Generator Loss: 0.4010
Epoch 1/1... Discriminator Loss: 1.5121... Generator Loss: 0.3180
Epoch 1/1... Discriminator Loss: 1.3889... Generator Loss: 0.6900
Epoch 1/1... Discriminator Loss: 1.5191... Generator Loss: 0.3595
Epoch 1/1... Discriminator Loss: 1.4702... Generator Loss: 0.5257
Epoch 1/1... Discriminator Loss: 1.5773... Generator Loss: 0.8042
iteration 5300
Epoch 1/1... Discriminator Loss: 1.3003... Generator Loss: 0.5768
Epoch 1/1... Discriminator Loss: 1.4199... Generator Loss: 0.6138
Epoch 1/1... Discriminator Loss: 1.3110... Generator Loss: 0.6714
Epoch 1/1... Discriminator Loss: 1.2219... Generator Loss: 0.5392
Epoch 1/1... Discriminator Loss: 1.5103... Generator Loss: 0.4398
Epoch 1/1... Discriminator Loss: 1.4639... Generator Loss: 0.3111
Epoch 1/1... Discriminator Loss: 1.3452... Generator Loss: 0.4388
Epoch 1/1... Discriminator Loss: 1.1208... Generator Loss: 0.7426
Epoch 1/1... Discriminator Loss: 1.5344... Generator Loss: 0.3626
Epoch 1/1... Discriminator Loss: 1.4563... Generator Loss: 0.5281
iteration 5400
Epoch 1/1... Discriminator Loss: 1.4098... Generator Loss: 0.4951
Epoch 1/1... Discriminator Loss: 1.4177... Generator Loss: 0.4230
Epoch 1/1... Discriminator Loss: 1.3025... Generator Loss: 0.5245
Epoch 1/1... Discriminator Loss: 1.5372... Generator Loss: 0.3388
Epoch 1/1... Discriminator Loss: 1.3989... Generator Loss: 0.4304
Epoch 1/1... Discriminator Loss: 1.2396... Generator Loss: 0.5577
Epoch 1/1... Discriminator Loss: 1.4710... Generator Loss: 0.5772
Epoch 1/1... Discriminator Loss: 1.3601... Generator Loss: 0.4295
Epoch 1/1... Discriminator Loss: 1.3463... Generator Loss: 0.4885
Epoch 1/1... Discriminator Loss: 1.3943... Generator Loss: 0.4559
iteration 5500
Epoch 1/1... Discriminator Loss: 1.4083... Generator Loss: 0.5064
Epoch 1/1... Discriminator Loss: 1.2519... Generator Loss: 0.5806
Epoch 1/1... Discriminator Loss: 1.3664... Generator Loss: 0.4450
Epoch 1/1... Discriminator Loss: 1.4877... Generator Loss: 0.4542
Epoch 1/1... Discriminator Loss: 1.3944... Generator Loss: 0.5035
Epoch 1/1... Discriminator Loss: 1.4231... Generator Loss: 0.4873
Epoch 1/1... Discriminator Loss: 1.4467... Generator Loss: 0.9634
Epoch 1/1... Discriminator Loss: 1.3379... Generator Loss: 0.4345
Epoch 1/1... Discriminator Loss: 1.1456... Generator Loss: 0.6757
Epoch 1/1... Discriminator Loss: 1.4341... Generator Loss: 0.9230
iteration 5600
Epoch 1/1... Discriminator Loss: 1.4518... Generator Loss: 0.5686
Epoch 1/1... Discriminator Loss: 1.3241... Generator Loss: 0.6539
Epoch 1/1... Discriminator Loss: 1.3621... Generator Loss: 0.5908
Epoch 1/1... Discriminator Loss: 1.4753... Generator Loss: 0.6547
Epoch 1/1... Discriminator Loss: 1.2882... Generator Loss: 0.6103
Epoch 1/1... Discriminator Loss: 1.2969... Generator Loss: 0.5923
Epoch 1/1... Discriminator Loss: 1.5810... Generator Loss: 0.2995
Epoch 1/1... Discriminator Loss: 1.3194... Generator Loss: 0.5978
Epoch 1/1... Discriminator Loss: 1.2637... Generator Loss: 0.4513
Epoch 1/1... Discriminator Loss: 1.3700... Generator Loss: 0.5403
iteration 5700
Epoch 1/1... Discriminator Loss: 1.7205... Generator Loss: 0.3011
Epoch 1/1... Discriminator Loss: 1.3577... Generator Loss: 0.4551
Epoch 1/1... Discriminator Loss: 1.1159... Generator Loss: 0.7272
Epoch 1/1... Discriminator Loss: 1.2712... Generator Loss: 0.5488
Epoch 1/1... Discriminator Loss: 1.4189... Generator Loss: 0.4940
Epoch 1/1... Discriminator Loss: 1.2986... Generator Loss: 0.6228
Epoch 1/1... Discriminator Loss: 1.3860... Generator Loss: 0.5907
Epoch 1/1... Discriminator Loss: 1.3996... Generator Loss: 0.3446
Epoch 1/1... Discriminator Loss: 1.3972... Generator Loss: 0.4945
Epoch 1/1... Discriminator Loss: 1.3370... Generator Loss: 0.4628
iteration 5800
Epoch 1/1... Discriminator Loss: 1.3180... Generator Loss: 0.7433
Epoch 1/1... Discriminator Loss: 1.1484... Generator Loss: 0.6364
Epoch 1/1... Discriminator Loss: 1.2508... Generator Loss: 0.5025
Epoch 1/1... Discriminator Loss: 1.4639... Generator Loss: 0.3699
Epoch 1/1... Discriminator Loss: 1.5070... Generator Loss: 0.3280
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.5484
Epoch 1/1... Discriminator Loss: 1.1234... Generator Loss: 0.6841
Epoch 1/1... Discriminator Loss: 1.2576... Generator Loss: 0.7117
Epoch 1/1... Discriminator Loss: 1.6146... Generator Loss: 0.2514
Epoch 1/1... Discriminator Loss: 1.3319... Generator Loss: 0.3949
iteration 5900
Epoch 1/1... Discriminator Loss: 1.3630... Generator Loss: 0.5472
Epoch 1/1... Discriminator Loss: 1.3132... Generator Loss: 0.4732
Epoch 1/1... Discriminator Loss: 1.4313... Generator Loss: 0.3862
Epoch 1/1... Discriminator Loss: 1.4689... Generator Loss: 0.4482
Epoch 1/1... Discriminator Loss: 1.4148... Generator Loss: 0.4675
Epoch 1/1... Discriminator Loss: 1.4382... Generator Loss: 0.4740
Epoch 1/1... Discriminator Loss: 1.3424... Generator Loss: 0.5817
Epoch 1/1... Discriminator Loss: 1.4223... Generator Loss: 0.6281
Epoch 1/1... Discriminator Loss: 1.3819... Generator Loss: 0.7316
Epoch 1/1... Discriminator Loss: 1.2027... Generator Loss: 0.8936
iteration 6000
Epoch 1/1... Discriminator Loss: 1.4650... Generator Loss: 0.5107
Epoch 1/1... Discriminator Loss: 1.4630... Generator Loss: 0.6336
Epoch 1/1... Discriminator Loss: 1.2512... Generator Loss: 0.6283
Epoch 1/1... Discriminator Loss: 1.3603... Generator Loss: 0.7321
Epoch 1/1... Discriminator Loss: 1.3902... Generator Loss: 0.3884
Epoch 1/1... Discriminator Loss: 1.3334... Generator Loss: 0.6289
Epoch 1/1... Discriminator Loss: 1.4564... Generator Loss: 0.3484
Epoch 1/1... Discriminator Loss: 1.3884... Generator Loss: 0.3693
Epoch 1/1... Discriminator Loss: 1.3378... Generator Loss: 0.5171
Epoch 1/1... Discriminator Loss: 1.5435... Generator Loss: 0.3945
iteration 6100
Epoch 1/1... Discriminator Loss: 1.2690... Generator Loss: 0.6583
Epoch 1/1... Discriminator Loss: 1.3293... Generator Loss: 0.6182
Epoch 1/1... Discriminator Loss: 1.2548... Generator Loss: 0.5538
Epoch 1/1... Discriminator Loss: 1.4272... Generator Loss: 0.4546
Epoch 1/1... Discriminator Loss: 1.2853... Generator Loss: 0.5265
Epoch 1/1... Discriminator Loss: 1.5353... Generator Loss: 0.2922
Epoch 1/1... Discriminator Loss: 1.2597... Generator Loss: 0.6076
Epoch 1/1... Discriminator Loss: 1.4891... Generator Loss: 0.5503
Epoch 1/1... Discriminator Loss: 1.4086... Generator Loss: 0.3914
Epoch 1/1... Discriminator Loss: 1.3071... Generator Loss: 0.8466
iteration 6200
Epoch 1/1... Discriminator Loss: 1.3240... Generator Loss: 0.4615
Epoch 1/1... Discriminator Loss: 1.3381... Generator Loss: 0.7293
Epoch 1/1... Discriminator Loss: 1.4613... Generator Loss: 0.5055
Epoch 1/1... Discriminator Loss: 1.2874... Generator Loss: 0.5880
Epoch 1/1... Discriminator Loss: 1.3835... Generator Loss: 0.4323
Epoch 1/1... Discriminator Loss: 1.2184... Generator Loss: 0.6009
Epoch 1/1... Discriminator Loss: 1.5051... Generator Loss: 0.4468
Epoch 1/1... Discriminator Loss: 1.3940... Generator Loss: 0.8140
Epoch 1/1... Discriminator Loss: 1.3103... Generator Loss: 0.4518
Epoch 1/1... Discriminator Loss: 1.3922... Generator Loss: 0.4330
iteration 6300
Epoch 1/1... Discriminator Loss: 1.2849... Generator Loss: 0.4815
Epoch 1/1... Discriminator Loss: 1.3024... Generator Loss: 0.5961
Epoch 1/1... Discriminator Loss: 1.2312... Generator Loss: 0.7426
Epoch 1/1... Discriminator Loss: 1.2797... Generator Loss: 0.6575
Epoch 1/1... Discriminator Loss: 1.4285... Generator Loss: 0.4500
Epoch 1/1... Discriminator Loss: 1.3362... Generator Loss: 0.5178
Epoch 1/1... Discriminator Loss: 1.3648... Generator Loss: 0.4854
Epoch 1/1... Discriminator Loss: 1.2906... Generator Loss: 0.5442
Epoch 1/1... Discriminator Loss: 1.4811... Generator Loss: 0.6981
Epoch 1/1... Discriminator Loss: 1.1779... Generator Loss: 0.6186
iteration 6400
Epoch 1/1... Discriminator Loss: 1.3166... Generator Loss: 0.6415
Epoch 1/1... Discriminator Loss: 1.3846... Generator Loss: 0.5298
Epoch 1/1... Discriminator Loss: 1.4329... Generator Loss: 0.3191
Epoch 1/1... Discriminator Loss: 1.3185... Generator Loss: 0.4395
Epoch 1/1... Discriminator Loss: 1.4152... Generator Loss: 0.5856
Epoch 1/1... Discriminator Loss: 1.3459... Generator Loss: 0.6311
Epoch 1/1... Discriminator Loss: 1.4652... Generator Loss: 0.4266
Epoch 1/1... Discriminator Loss: 1.4619... Generator Loss: 0.4315
Epoch 1/1... Discriminator Loss: 1.2048... Generator Loss: 0.6413
Epoch 1/1... Discriminator Loss: 1.3601... Generator Loss: 0.3859
iteration 6500
Epoch 1/1... Discriminator Loss: 1.3177... Generator Loss: 0.3618
Epoch 1/1... Discriminator Loss: 1.1747... Generator Loss: 0.8060
Epoch 1/1... Discriminator Loss: 1.3367... Generator Loss: 0.6542
Epoch 1/1... Discriminator Loss: 1.3190... Generator Loss: 0.6593
Epoch 1/1... Discriminator Loss: 1.5874... Generator Loss: 0.4596
Epoch 1/1... Discriminator Loss: 1.1771... Generator Loss: 0.6210
Epoch 1/1... Discriminator Loss: 1.5722... Generator Loss: 0.3053
Epoch 1/1... Discriminator Loss: 1.3052... Generator Loss: 0.4936
Epoch 1/1... Discriminator Loss: 1.2748... Generator Loss: 0.5325
Epoch 1/1... Discriminator Loss: 1.5266... Generator Loss: 0.3914
iteration 6600
Epoch 1/1... Discriminator Loss: 1.5406... Generator Loss: 0.3359
Epoch 1/1... Discriminator Loss: 1.3797... Generator Loss: 0.5253
Epoch 1/1... Discriminator Loss: 1.3971... Generator Loss: 0.3731
Epoch 1/1... Discriminator Loss: 1.2823... Generator Loss: 0.5654
Epoch 1/1... Discriminator Loss: 1.4618... Generator Loss: 0.3902
Epoch 1/1... Discriminator Loss: 1.4525... Generator Loss: 0.7363
Epoch 1/1... Discriminator Loss: 1.2485... Generator Loss: 0.6401
Epoch 1/1... Discriminator Loss: 1.2679... Generator Loss: 0.6224
Epoch 1/1... Discriminator Loss: 1.3885... Generator Loss: 0.5742
Epoch 1/1... Discriminator Loss: 1.3679... Generator Loss: 0.4932
iteration 6700
Epoch 1/1... Discriminator Loss: 1.5374... Generator Loss: 0.4072
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.4751
Epoch 1/1... Discriminator Loss: 1.2465... Generator Loss: 0.6407
Epoch 1/1... Discriminator Loss: 1.3660... Generator Loss: 0.3692
Epoch 1/1... Discriminator Loss: 1.4141... Generator Loss: 0.4550
Epoch 1/1... Discriminator Loss: 1.1850... Generator Loss: 0.8355
Epoch 1/1... Discriminator Loss: 1.2625... Generator Loss: 0.4539
Epoch 1/1... Discriminator Loss: 1.3519... Generator Loss: 0.5979
Epoch 1/1... Discriminator Loss: 1.5071... Generator Loss: 0.3769
Epoch 1/1... Discriminator Loss: 1.3133... Generator Loss: 0.4969
iteration 6800
Epoch 1/1... Discriminator Loss: 1.3134... Generator Loss: 0.5953
Epoch 1/1... Discriminator Loss: 1.3631... Generator Loss: 0.4859
Epoch 1/1... Discriminator Loss: 1.7297... Generator Loss: 0.4589
Epoch 1/1... Discriminator Loss: 1.1893... Generator Loss: 0.5540
Epoch 1/1... Discriminator Loss: 1.3462... Generator Loss: 0.5916
Epoch 1/1... Discriminator Loss: 1.5186... Generator Loss: 0.2782
Epoch 1/1... Discriminator Loss: 1.3232... Generator Loss: 0.5295
Epoch 1/1... Discriminator Loss: 1.3658... Generator Loss: 0.4516
Epoch 1/1... Discriminator Loss: 1.4416... Generator Loss: 0.6857
Epoch 1/1... Discriminator Loss: 1.3212... Generator Loss: 0.6521
iteration 6900
Epoch 1/1... Discriminator Loss: 1.2799... Generator Loss: 0.6787
Epoch 1/1... Discriminator Loss: 1.2578... Generator Loss: 0.5665
Epoch 1/1... Discriminator Loss: 1.4208... Generator Loss: 0.3506
Epoch 1/1... Discriminator Loss: 1.3328... Generator Loss: 0.7227
Epoch 1/1... Discriminator Loss: 1.3505... Generator Loss: 0.5351
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.4779
Epoch 1/1... Discriminator Loss: 1.5806... Generator Loss: 0.4070
Epoch 1/1... Discriminator Loss: 1.3454... Generator Loss: 0.4198
Epoch 1/1... Discriminator Loss: 1.2198... Generator Loss: 0.5143
Epoch 1/1... Discriminator Loss: 1.1424... Generator Loss: 0.6822
iteration 7000
Epoch 1/1... Discriminator Loss: 1.2773... Generator Loss: 0.6335
Epoch 1/1... Discriminator Loss: 1.2455... Generator Loss: 0.4366
Epoch 1/1... Discriminator Loss: 1.4030... Generator Loss: 0.4567
Epoch 1/1... Discriminator Loss: 1.2937... Generator Loss: 0.4324
Epoch 1/1... Discriminator Loss: 1.2041... Generator Loss: 0.8338
Epoch 1/1... Discriminator Loss: 1.4383... Generator Loss: 0.6025
Epoch 1/1... Discriminator Loss: 1.3043... Generator Loss: 0.5733
Epoch 1/1... Discriminator Loss: 1.1678... Generator Loss: 0.9500
Epoch 1/1... Discriminator Loss: 1.4293... Generator Loss: 0.4815
Epoch 1/1... Discriminator Loss: 1.1826... Generator Loss: 0.5082
iteration 7100
Epoch 1/1... Discriminator Loss: 1.3823... Generator Loss: 0.5351
Epoch 1/1... Discriminator Loss: 1.5193... Generator Loss: 0.3480
Epoch 1/1... Discriminator Loss: 1.3373... Generator Loss: 0.4628
Epoch 1/1... Discriminator Loss: 1.2500... Generator Loss: 0.5005
Epoch 1/1... Discriminator Loss: 1.2473... Generator Loss: 0.7042
Epoch 1/1... Discriminator Loss: 1.4961... Generator Loss: 0.5708
Epoch 1/1... Discriminator Loss: 1.3449... Generator Loss: 0.7303
Epoch 1/1... Discriminator Loss: 1.5699... Generator Loss: 0.3172
Epoch 1/1... Discriminator Loss: 1.3121... Generator Loss: 0.5765
Epoch 1/1... Discriminator Loss: 1.1822... Generator Loss: 0.5440
iteration 7200
Epoch 1/1... Discriminator Loss: 1.3360... Generator Loss: 0.4816
Epoch 1/1... Discriminator Loss: 1.2791... Generator Loss: 0.6335
Epoch 1/1... Discriminator Loss: 1.3750... Generator Loss: 0.4401
Epoch 1/1... Discriminator Loss: 1.4336... Generator Loss: 0.2731
Epoch 1/1... Discriminator Loss: 1.2698... Generator Loss: 0.5622
Epoch 1/1... Discriminator Loss: 1.4101... Generator Loss: 1.1071
Epoch 1/1... Discriminator Loss: 1.1854... Generator Loss: 0.6987
Epoch 1/1... Discriminator Loss: 1.2207... Generator Loss: 0.6621
Epoch 1/1... Discriminator Loss: 1.2550... Generator Loss: 0.6064
Epoch 1/1... Discriminator Loss: 1.3142... Generator Loss: 0.5895
iteration 7300
Epoch 1/1... Discriminator Loss: 1.2768... Generator Loss: 0.4833
Epoch 1/1... Discriminator Loss: 1.2216... Generator Loss: 0.4860
Epoch 1/1... Discriminator Loss: 1.3837... Generator Loss: 0.7640
Epoch 1/1... Discriminator Loss: 1.3468... Generator Loss: 0.6168
Epoch 1/1... Discriminator Loss: 1.7388... Generator Loss: 0.3739
Epoch 1/1... Discriminator Loss: 1.5274... Generator Loss: 0.8631
Epoch 1/1... Discriminator Loss: 1.3530... Generator Loss: 0.5853
Epoch 1/1... Discriminator Loss: 1.2798... Generator Loss: 0.7295
Epoch 1/1... Discriminator Loss: 1.4557... Generator Loss: 0.5430
Epoch 1/1... Discriminator Loss: 1.3840... Generator Loss: 0.4053
iteration 7400
Epoch 1/1... Discriminator Loss: 1.4010... Generator Loss: 0.2830
Epoch 1/1... Discriminator Loss: 1.3476... Generator Loss: 0.5724
Epoch 1/1... Discriminator Loss: 1.3356... Generator Loss: 0.4352
Epoch 1/1... Discriminator Loss: 1.4490... Generator Loss: 0.7229
Epoch 1/1... Discriminator Loss: 1.4666... Generator Loss: 0.3554
Epoch 1/1... Discriminator Loss: 1.2448... Generator Loss: 0.6571
Epoch 1/1... Discriminator Loss: 1.4664... Generator Loss: 0.3459
Epoch 1/1... Discriminator Loss: 1.3934... Generator Loss: 0.3977
Epoch 1/1... Discriminator Loss: 1.5113... Generator Loss: 0.3256
Epoch 1/1... Discriminator Loss: 1.2390... Generator Loss: 0.8375
iteration 7500
Epoch 1/1... Discriminator Loss: 1.3650... Generator Loss: 0.4063
Epoch 1/1... Discriminator Loss: 1.3733... Generator Loss: 0.3938
Epoch 1/1... Discriminator Loss: 1.2853... Generator Loss: 0.5566
Epoch 1/1... Discriminator Loss: 1.6112... Generator Loss: 0.2409
Epoch 1/1... Discriminator Loss: 1.2174... Generator Loss: 0.6685
Epoch 1/1... Discriminator Loss: 1.2121... Generator Loss: 0.6673
Epoch 1/1... Discriminator Loss: 1.3905... Generator Loss: 0.4910
Epoch 1/1... Discriminator Loss: 1.3319... Generator Loss: 0.5133
Epoch 1/1... Discriminator Loss: 1.1478... Generator Loss: 0.6172
Epoch 1/1... Discriminator Loss: 1.2666... Generator Loss: 0.5916
iteration 7600
Epoch 1/1... Discriminator Loss: 1.3391... Generator Loss: 0.5751
Epoch 1/1... Discriminator Loss: 1.2761... Generator Loss: 0.6033
Epoch 1/1... Discriminator Loss: 0.9897... Generator Loss: 0.9447
Epoch 1/1... Discriminator Loss: 1.1736... Generator Loss: 0.7947
Epoch 1/1... Discriminator Loss: 1.5307... Generator Loss: 0.2725
Epoch 1/1... Discriminator Loss: 1.2014... Generator Loss: 0.6640
Epoch 1/1... Discriminator Loss: 1.3463... Generator Loss: 0.6277
Epoch 1/1... Discriminator Loss: 1.2000... Generator Loss: 0.6444
Epoch 1/1... Discriminator Loss: 1.5909... Generator Loss: 0.2862
Epoch 1/1... Discriminator Loss: 1.3739... Generator Loss: 0.6674
iteration 7700
Epoch 1/1... Discriminator Loss: 1.2835... Generator Loss: 0.4331
Epoch 1/1... Discriminator Loss: 1.5123... Generator Loss: 0.3110
Epoch 1/1... Discriminator Loss: 1.2368... Generator Loss: 0.5349
Epoch 1/1... Discriminator Loss: 1.3819... Generator Loss: 0.3220
Epoch 1/1... Discriminator Loss: 1.2548... Generator Loss: 0.6524
Epoch 1/1... Discriminator Loss: 1.2459... Generator Loss: 0.4745
Epoch 1/1... Discriminator Loss: 1.5173... Generator Loss: 0.3202
Epoch 1/1... Discriminator Loss: 1.4250... Generator Loss: 0.4554
Epoch 1/1... Discriminator Loss: 1.2628... Generator Loss: 0.5491
Epoch 1/1... Discriminator Loss: 1.3088... Generator Loss: 0.5281
iteration 7800
Epoch 1/1... Discriminator Loss: 1.1526... Generator Loss: 0.7039
Epoch 1/1... Discriminator Loss: 1.2231... Generator Loss: 0.5223
Epoch 1/1... Discriminator Loss: 1.4028... Generator Loss: 0.4086
Epoch 1/1... Discriminator Loss: 1.3911... Generator Loss: 0.5797
Epoch 1/1... Discriminator Loss: 1.4434... Generator Loss: 0.4595
Epoch 1/1... Discriminator Loss: 1.3574... Generator Loss: 0.3817
Epoch 1/1... Discriminator Loss: 1.1842... Generator Loss: 0.4921
Epoch 1/1... Discriminator Loss: 1.3673... Generator Loss: 0.4340
Epoch 1/1... Discriminator Loss: 1.2539... Generator Loss: 0.6195
Epoch 1/1... Discriminator Loss: 1.1980... Generator Loss: 0.6362
iteration 7900
Epoch 1/1... Discriminator Loss: 1.3487... Generator Loss: 0.5671
Epoch 1/1... Discriminator Loss: 1.5439... Generator Loss: 0.3980
Epoch 1/1... Discriminator Loss: 1.3309... Generator Loss: 0.4932
Epoch 1/1... Discriminator Loss: 1.3416... Generator Loss: 0.4083
Epoch 1/1... Discriminator Loss: 1.4972... Generator Loss: 0.3317
Epoch 1/1... Discriminator Loss: 1.0718... Generator Loss: 0.8282
Epoch 1/1... Discriminator Loss: 1.3251... Generator Loss: 0.5023
Epoch 1/1... Discriminator Loss: 1.4409... Generator Loss: 0.5835
Epoch 1/1... Discriminator Loss: 1.4719... Generator Loss: 0.3357
Epoch 1/1... Discriminator Loss: 1.3528... Generator Loss: 0.6627
iteration 8000
Epoch 1/1... Discriminator Loss: 1.3794... Generator Loss: 0.4306
Epoch 1/1... Discriminator Loss: 1.3726... Generator Loss: 0.6446
Epoch 1/1... Discriminator Loss: 1.4134... Generator Loss: 0.4752
Epoch 1/1... Discriminator Loss: 1.2770... Generator Loss: 0.6287
Epoch 1/1... Discriminator Loss: 1.3246... Generator Loss: 0.8557
Epoch 1/1... Discriminator Loss: 1.3235... Generator Loss: 0.4903
Epoch 1/1... Discriminator Loss: 1.2851... Generator Loss: 0.4058
Epoch 1/1... Discriminator Loss: 1.4350... Generator Loss: 0.4510
Epoch 1/1... Discriminator Loss: 1.3520... Generator Loss: 0.4847
Epoch 1/1... Discriminator Loss: 1.4246... Generator Loss: 0.5329
iteration 8100
Epoch 1/1... Discriminator Loss: 1.4841... Generator Loss: 0.3890
Epoch 1/1... Discriminator Loss: 1.2812... Generator Loss: 0.6037
Epoch 1/1... Discriminator Loss: 1.3993... Generator Loss: 0.6000
Epoch 1/1... Discriminator Loss: 1.4175... Generator Loss: 0.4397
Epoch 1/1... Discriminator Loss: 1.3466... Generator Loss: 0.4336
Epoch 1/1... Discriminator Loss: 1.3379... Generator Loss: 0.6417
Epoch 1/1... Discriminator Loss: 1.6649... Generator Loss: 0.2907
Epoch 1/1... Discriminator Loss: 1.3359... Generator Loss: 0.6306
Epoch 1/1... Discriminator Loss: 1.2533... Generator Loss: 0.4437
Epoch 1/1... Discriminator Loss: 1.5888... Generator Loss: 0.4827
iteration 8200
Epoch 1/1... Discriminator Loss: 1.4063... Generator Loss: 0.5162
Epoch 1/1... Discriminator Loss: 1.3243... Generator Loss: 0.6640
Epoch 1/1... Discriminator Loss: 1.2389... Generator Loss: 0.5795
Epoch 1/1... Discriminator Loss: 1.6311... Generator Loss: 0.7831
Epoch 1/1... Discriminator Loss: 1.4567... Generator Loss: 0.3773
Epoch 1/1... Discriminator Loss: 1.3615... Generator Loss: 0.5235
Epoch 1/1... Discriminator Loss: 1.3109... Generator Loss: 0.5962
Epoch 1/1... Discriminator Loss: 1.3635... Generator Loss: 0.6360
Epoch 1/1... Discriminator Loss: 1.5050... Generator Loss: 0.6256
Epoch 1/1... Discriminator Loss: 1.4783... Generator Loss: 0.4675
iteration 8300
Epoch 1/1... Discriminator Loss: 1.3886... Generator Loss: 0.6600
Epoch 1/1... Discriminator Loss: 1.3522... Generator Loss: 0.7428
Epoch 1/1... Discriminator Loss: 1.4387... Generator Loss: 0.3698
Epoch 1/1... Discriminator Loss: 1.3378... Generator Loss: 0.4827
Epoch 1/1... Discriminator Loss: 1.2469... Generator Loss: 0.5161
Epoch 1/1... Discriminator Loss: 1.4074... Generator Loss: 0.4203
Epoch 1/1... Discriminator Loss: 1.1651... Generator Loss: 0.5160
Epoch 1/1... Discriminator Loss: 1.4210... Generator Loss: 0.3890
Epoch 1/1... Discriminator Loss: 1.5632... Generator Loss: 0.4365
Epoch 1/1... Discriminator Loss: 1.3022... Generator Loss: 0.4948
iteration 8400
Epoch 1/1... Discriminator Loss: 1.3090... Generator Loss: 0.4735
Epoch 1/1... Discriminator Loss: 1.3338... Generator Loss: 0.7704
Epoch 1/1... Discriminator Loss: 1.4305... Generator Loss: 0.7720
Epoch 1/1... Discriminator Loss: 1.2526... Generator Loss: 0.5921
Epoch 1/1... Discriminator Loss: 1.4670... Generator Loss: 0.4000
Epoch 1/1... Discriminator Loss: 1.1875... Generator Loss: 0.7030
Epoch 1/1... Discriminator Loss: 1.3146... Generator Loss: 0.4822
Epoch 1/1... Discriminator Loss: 1.3847... Generator Loss: 0.5930
Epoch 1/1... Discriminator Loss: 1.3239... Generator Loss: 0.4753
Epoch 1/1... Discriminator Loss: 1.2620... Generator Loss: 0.5034
iteration 8500
Epoch 1/1... Discriminator Loss: 1.4648... Generator Loss: 0.3158
Epoch 1/1... Discriminator Loss: 1.3351... Generator Loss: 0.4855
Epoch 1/1... Discriminator Loss: 1.2359... Generator Loss: 0.5363
Epoch 1/1... Discriminator Loss: 1.3185... Generator Loss: 0.4146
Epoch 1/1... Discriminator Loss: 1.3292... Generator Loss: 0.4087
Epoch 1/1... Discriminator Loss: 1.2681... Generator Loss: 0.5460
Epoch 1/1... Discriminator Loss: 1.6003... Generator Loss: 0.3997
Epoch 1/1... Discriminator Loss: 1.2526... Generator Loss: 0.4988
Epoch 1/1... Discriminator Loss: 1.2145... Generator Loss: 0.6753
Epoch 1/1... Discriminator Loss: 1.2289... Generator Loss: 0.5797
iteration 8600
Epoch 1/1... Discriminator Loss: 1.3814... Generator Loss: 0.4245
Epoch 1/1... Discriminator Loss: 1.4045... Generator Loss: 0.6109
Epoch 1/1... Discriminator Loss: 1.3767... Generator Loss: 0.4761
Epoch 1/1... Discriminator Loss: 1.3459... Generator Loss: 0.5526
Epoch 1/1... Discriminator Loss: 1.3080... Generator Loss: 0.5622
Epoch 1/1... Discriminator Loss: 1.3756... Generator Loss: 0.5954
Epoch 1/1... Discriminator Loss: 1.2831... Generator Loss: 0.4145
Epoch 1/1... Discriminator Loss: 1.3710... Generator Loss: 0.6554
Epoch 1/1... Discriminator Loss: 1.2448... Generator Loss: 0.5218
Epoch 1/1... Discriminator Loss: 1.2319... Generator Loss: 0.5239
iteration 8700
Epoch 1/1... Discriminator Loss: 1.2747... Generator Loss: 0.6663
Epoch 1/1... Discriminator Loss: 1.2207... Generator Loss: 0.6643
Epoch 1/1... Discriminator Loss: 1.3175... Generator Loss: 0.6198
Epoch 1/1... Discriminator Loss: 1.3331... Generator Loss: 0.6366
Epoch 1/1... Discriminator Loss: 1.3454... Generator Loss: 0.5372
Epoch 1/1... Discriminator Loss: 1.3317... Generator Loss: 0.4744
Epoch 1/1... Discriminator Loss: 1.3744... Generator Loss: 0.5185
Epoch 1/1... Discriminator Loss: 1.3057... Generator Loss: 0.5863
Epoch 1/1... Discriminator Loss: 1.3587... Generator Loss: 0.4038
Epoch 1/1... Discriminator Loss: 1.3230... Generator Loss: 0.6509
iteration 8800
Epoch 1/1... Discriminator Loss: 1.4715... Generator Loss: 0.6959
Epoch 1/1... Discriminator Loss: 1.3548... Generator Loss: 0.3949
Epoch 1/1... Discriminator Loss: 1.3495... Generator Loss: 0.5384
Epoch 1/1... Discriminator Loss: 1.2506... Generator Loss: 0.5170
Epoch 1/1... Discriminator Loss: 1.1883... Generator Loss: 0.6947
Epoch 1/1... Discriminator Loss: 1.2556... Generator Loss: 0.7509
Epoch 1/1... Discriminator Loss: 1.3135... Generator Loss: 0.5333
Epoch 1/1... Discriminator Loss: 1.3629... Generator Loss: 0.5564
Epoch 1/1... Discriminator Loss: 1.4408... Generator Loss: 0.4459
Epoch 1/1... Discriminator Loss: 1.3240... Generator Loss: 0.4479
iteration 8900
Epoch 1/1... Discriminator Loss: 1.4310... Generator Loss: 0.3819
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.4167
Epoch 1/1... Discriminator Loss: 1.3823... Generator Loss: 0.4752
Epoch 1/1... Discriminator Loss: 1.2918... Generator Loss: 0.4719
Epoch 1/1... Discriminator Loss: 1.4758... Generator Loss: 0.3958
Epoch 1/1... Discriminator Loss: 1.2603... Generator Loss: 0.4948
Epoch 1/1... Discriminator Loss: 1.4927... Generator Loss: 0.6251
Epoch 1/1... Discriminator Loss: 1.2708... Generator Loss: 0.4574
Epoch 1/1... Discriminator Loss: 1.4643... Generator Loss: 0.8310
Epoch 1/1... Discriminator Loss: 1.1974... Generator Loss: 0.7782
iteration 9000
Epoch 1/1... Discriminator Loss: 1.3482... Generator Loss: 0.5007
Epoch 1/1... Discriminator Loss: 1.4264... Generator Loss: 0.5252
Epoch 1/1... Discriminator Loss: 1.4381... Generator Loss: 0.4331
Epoch 1/1... Discriminator Loss: 1.5494... Generator Loss: 0.5719
Epoch 1/1... Discriminator Loss: 1.4691... Generator Loss: 0.3332
Epoch 1/1... Discriminator Loss: 1.3069... Generator Loss: 0.3934
Epoch 1/1... Discriminator Loss: 1.2176... Generator Loss: 0.5071
Epoch 1/1... Discriminator Loss: 1.4104... Generator Loss: 0.4259
Epoch 1/1... Discriminator Loss: 1.3091... Generator Loss: 0.6430
Epoch 1/1... Discriminator Loss: 1.2990... Generator Loss: 0.5212
iteration 9100
Epoch 1/1... Discriminator Loss: 1.2288... Generator Loss: 0.6604
Epoch 1/1... Discriminator Loss: 1.1660... Generator Loss: 0.5731
Epoch 1/1... Discriminator Loss: 1.2875... Generator Loss: 0.4538
Epoch 1/1... Discriminator Loss: 1.3639... Generator Loss: 0.5320
Epoch 1/1... Discriminator Loss: 1.2222... Generator Loss: 0.7058
Epoch 1/1... Discriminator Loss: 1.3102... Generator Loss: 0.4820
Epoch 1/1... Discriminator Loss: 1.3197... Generator Loss: 0.5915
Epoch 1/1... Discriminator Loss: 1.2926... Generator Loss: 0.7986
Epoch 1/1... Discriminator Loss: 1.2465... Generator Loss: 0.5329
Epoch 1/1... Discriminator Loss: 1.3565... Generator Loss: 0.4359
iteration 9200
Epoch 1/1... Discriminator Loss: 1.3463... Generator Loss: 0.5915
Epoch 1/1... Discriminator Loss: 1.3585... Generator Loss: 0.5672
Epoch 1/1... Discriminator Loss: 1.3915... Generator Loss: 0.4690
Epoch 1/1... Discriminator Loss: 1.2225... Generator Loss: 0.6948
Epoch 1/1... Discriminator Loss: 1.2479... Generator Loss: 0.6389
Epoch 1/1... Discriminator Loss: 1.5380... Generator Loss: 0.3846
Epoch 1/1... Discriminator Loss: 1.3698... Generator Loss: 0.4637
Epoch 1/1... Discriminator Loss: 1.3727... Generator Loss: 0.5647
Epoch 1/1... Discriminator Loss: 1.2804... Generator Loss: 0.5565
Epoch 1/1... Discriminator Loss: 1.4277... Generator Loss: 0.5208
iteration 9300
Epoch 1/1... Discriminator Loss: 1.3797... Generator Loss: 0.5018
Epoch 1/1... Discriminator Loss: 1.3260... Generator Loss: 0.5733
Epoch 1/1... Discriminator Loss: 1.2109... Generator Loss: 0.5308
Epoch 1/1... Discriminator Loss: 1.3266... Generator Loss: 0.6569
Epoch 1/1... Discriminator Loss: 1.3918... Generator Loss: 0.6115
Epoch 1/1... Discriminator Loss: 1.2100... Generator Loss: 0.6113
Epoch 1/1... Discriminator Loss: 1.2576... Generator Loss: 0.5567
Epoch 1/1... Discriminator Loss: 1.2971... Generator Loss: 0.5082
Epoch 1/1... Discriminator Loss: 1.4125... Generator Loss: 0.5185
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.5886
iteration 9400
Epoch 1/1... Discriminator Loss: 1.3069... Generator Loss: 0.5449
Epoch 1/1... Discriminator Loss: 1.2665... Generator Loss: 0.7307
Epoch 1/1... Discriminator Loss: 1.2626... Generator Loss: 0.5718
Epoch 1/1... Discriminator Loss: 1.2320... Generator Loss: 0.6191
Epoch 1/1... Discriminator Loss: 1.4475... Generator Loss: 0.4984
Epoch 1/1... Discriminator Loss: 1.3236... Generator Loss: 0.7353
Epoch 1/1... Discriminator Loss: 1.2929... Generator Loss: 0.6949
Epoch 1/1... Discriminator Loss: 1.3875... Generator Loss: 0.3556
Epoch 1/1... Discriminator Loss: 1.3936... Generator Loss: 0.3280
Epoch 1/1... Discriminator Loss: 1.3366... Generator Loss: 0.5532
iteration 9500
Epoch 1/1... Discriminator Loss: 1.2054... Generator Loss: 0.6599
Epoch 1/1... Discriminator Loss: 1.4105... Generator Loss: 0.3607
Epoch 1/1... Discriminator Loss: 1.3797... Generator Loss: 0.5281
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.4035
Epoch 1/1... Discriminator Loss: 1.3600... Generator Loss: 0.6815
Epoch 1/1... Discriminator Loss: 1.3532... Generator Loss: 0.4507
Epoch 1/1... Discriminator Loss: 1.1422... Generator Loss: 0.7026
Epoch 1/1... Discriminator Loss: 1.3048... Generator Loss: 0.6290
Epoch 1/1... Discriminator Loss: 1.2821... Generator Loss: 0.5192
Epoch 1/1... Discriminator Loss: 1.4449... Generator Loss: 0.3467
iteration 9600
Epoch 1/1... Discriminator Loss: 1.3996... Generator Loss: 0.4258
Epoch 1/1... Discriminator Loss: 1.2418... Generator Loss: 0.5908
Epoch 1/1... Discriminator Loss: 1.4002... Generator Loss: 0.5300
Epoch 1/1... Discriminator Loss: 1.3038... Generator Loss: 0.4910
Epoch 1/1... Discriminator Loss: 1.3193... Generator Loss: 0.5731
Epoch 1/1... Discriminator Loss: 1.3921... Generator Loss: 0.3877
Epoch 1/1... Discriminator Loss: 1.3370... Generator Loss: 0.5316
Epoch 1/1... Discriminator Loss: 1.2525... Generator Loss: 0.5468
Epoch 1/1... Discriminator Loss: 1.3163... Generator Loss: 0.4060
Epoch 1/1... Discriminator Loss: 1.3181... Generator Loss: 0.5571
iteration 9700
Epoch 1/1... Discriminator Loss: 1.2260... Generator Loss: 0.5060
Epoch 1/1... Discriminator Loss: 1.4008... Generator Loss: 0.5178
Epoch 1/1... Discriminator Loss: 1.4219... Generator Loss: 0.5444
Epoch 1/1... Discriminator Loss: 1.2726... Generator Loss: 0.4754
Epoch 1/1... Discriminator Loss: 1.3679... Generator Loss: 0.6505
Epoch 1/1... Discriminator Loss: 1.1400... Generator Loss: 0.6798
Epoch 1/1... Discriminator Loss: 1.3851... Generator Loss: 0.4517
Epoch 1/1... Discriminator Loss: 1.2877... Generator Loss: 0.5651
Epoch 1/1... Discriminator Loss: 1.4294... Generator Loss: 0.5331
Epoch 1/1... Discriminator Loss: 1.4743... Generator Loss: 0.3626
iteration 9800
Epoch 1/1... Discriminator Loss: 1.2346... Generator Loss: 0.5758
Epoch 1/1... Discriminator Loss: 1.5124... Generator Loss: 0.3371
Epoch 1/1... Discriminator Loss: 1.3681... Generator Loss: 0.4845
Epoch 1/1... Discriminator Loss: 1.4292... Generator Loss: 0.4706
Epoch 1/1... Discriminator Loss: 1.3244... Generator Loss: 0.6283
Epoch 1/1... Discriminator Loss: 1.3578... Generator Loss: 0.2978
Epoch 1/1... Discriminator Loss: 1.1515... Generator Loss: 0.6623
Epoch 1/1... Discriminator Loss: 1.3504... Generator Loss: 0.6531
Epoch 1/1... Discriminator Loss: 1.2752... Generator Loss: 0.4296
Epoch 1/1... Discriminator Loss: 1.3807... Generator Loss: 0.4954
iteration 9900
Epoch 1/1... Discriminator Loss: 1.2407... Generator Loss: 0.5553
Epoch 1/1... Discriminator Loss: 1.3993... Generator Loss: 0.4728
Epoch 1/1... Discriminator Loss: 1.4336... Generator Loss: 0.4501
Epoch 1/1... Discriminator Loss: 1.3777... Generator Loss: 0.3995
Epoch 1/1... Discriminator Loss: 1.4019... Generator Loss: 0.7581
Epoch 1/1... Discriminator Loss: 1.3118... Generator Loss: 0.6177
Epoch 1/1... Discriminator Loss: 1.2512... Generator Loss: 0.8304
Epoch 1/1... Discriminator Loss: 1.4290... Generator Loss: 0.6691
Epoch 1/1... Discriminator Loss: 1.2560... Generator Loss: 0.6316
Epoch 1/1... Discriminator Loss: 1.4340... Generator Loss: 0.3941
iteration 10000
Epoch 1/1... Discriminator Loss: 1.3178... Generator Loss: 0.4947
Epoch 1/1... Discriminator Loss: 1.2711... Generator Loss: 0.4879
Epoch 1/1... Discriminator Loss: 1.3126... Generator Loss: 0.4460
Epoch 1/1... Discriminator Loss: 1.2798... Generator Loss: 0.5061
Epoch 1/1... Discriminator Loss: 1.2728... Generator Loss: 0.5855
Epoch 1/1... Discriminator Loss: 1.4183... Generator Loss: 0.3567
Epoch 1/1... Discriminator Loss: 1.3824... Generator Loss: 0.5037
Epoch 1/1... Discriminator Loss: 1.4402... Generator Loss: 0.5109
Epoch 1/1... Discriminator Loss: 1.2283... Generator Loss: 0.5783
Epoch 1/1... Discriminator Loss: 1.3039... Generator Loss: 0.6762
iteration 10100
Epoch 1/1... Discriminator Loss: 1.2532... Generator Loss: 0.6493
Epoch 1/1... Discriminator Loss: 1.3431... Generator Loss: 0.4748
Training done seconds: 1300.994972229004. Time in minutes: 21.683249537150065. Iterations: 10129

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.